{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":32,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":32,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"1d14961659f5","filters":{"venue":"Journal of Cognitive Engineering and Decision Making"}},"results":[{"id":"W2002894033","doi":"10.1518/155534308x284417","title":"Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs","year":2008,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":672,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Transport Canada","funders":"","keywords":"Operationalization; Workload; Computer science; Cognitive ergonomics; Situation awareness; Automation; Cognition; Empirical research; Knowledge management; Human–computer interaction; Cognitive science; Psychology; Data science; Human factors and ergonomics; Poison control; Engineering; Epistemology","authors":[{"name":"Raja Parasuraman","is_ca":false},{"name":"Thomas B. Sheridan","is_ca":true},{"name":"Christopher D. Wickens","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02626231158913042,"gpt":0.3443212428714839,"spread":0.3180589312823534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008321534,0.0008710394,0.0006429238,0.00340231,0.001354395,0.006014222,0.001160427,0.00178963,0.002052901],"category_scores_gemma":[0.0385741,0.0005358543,0.0007705479,0.002302857,0.008616977,0.008910899,0.004548186,0.003172882,0.0001385838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425503,"about_ca_system_score_gemma":0.002486644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004937252,"about_ca_topic_score_gemma":0.004064546,"domain_scores_codex":[0.9956986,0.00203926,0.0003524759,0.0004714796,0.00114541,0.000292793],"domain_scores_gemma":[0.9439108,0.03977733,0.0088391,0.002007927,0.003421508,0.002043298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004727082,0.001545747,0.314893,0.001222805,0.0004156595,0.0003679027,0.03741805,0.007927871,0.001418726,0.4796425,0.001400247,0.1532748],"study_design_scores_gemma":[0.00008577359,0.0006574501,0.3299613,0.001549888,0.0002937044,0.0004086204,0.02536251,0.03532324,0.001065546,0.6002524,0.004760425,0.0002790537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8921931,0.007784302,0.05479519,0.01460618,0.0001268758,0.0002284831,0.0002642449,0.00005656507,0.02994488],"genre_scores_gemma":[0.9939077,0.0006542836,0.005017,0.0001611137,0.00002714586,0.00008717482,0.00003630108,0.000004511858,0.0001047733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008321534,"threshold_uncertainty_score":0.04400903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163994264","doi":"10.1177/1555343412445577","title":"Team Cognitive Work Analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Sociotechnical system; Teamwork; Computer science; Task analysis; Work (physics); Domain (mathematical analysis); Task (project management); Decision support system; Knowledge management; Process management; Human–computer interaction; Management science; Engineering; Systems engineering; Artificial intelligence","authors":[{"name":"Maryam Ashoori","is_ca":true},{"name":"Catherine M. Burns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02470510731495095,"gpt":0.3721395102661025,"spread":0.3474344029511515,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00397912,0.0009973214,0.00051812,0.009399159,0.002239185,0.004721472,0.001500725,0.0006110214,0.01057024],"category_scores_gemma":[0.01273003,0.0002573051,0.001335903,0.004963243,0.001307927,0.002434123,0.003010971,0.0008662356,0.001412523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723794,"about_ca_system_score_gemma":0.003548221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009643829,"about_ca_topic_score_gemma":0.005250743,"domain_scores_codex":[0.9958424,0.001101279,0.0002792552,0.0008419645,0.001603914,0.0003311819],"domain_scores_gemma":[0.9902617,0.004366398,0.0007181433,0.001318209,0.002948284,0.000387322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000369142,0.0005085932,0.03444107,0.001013242,0.000332048,0.000406826,0.03269162,0.02379824,0.004664292,0.2130858,0.0200656,0.6686234],"study_design_scores_gemma":[0.0001709202,0.000357957,0.05617718,0.0006405754,0.000275723,0.0007092464,0.04848959,0.3744243,0.01182732,0.3002937,0.2063837,0.0002497477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1315544,0.0004655606,0.7799391,0.000858079,0.0001573499,0.001466864,0.002433189,0.00160009,0.08152532],"genre_scores_gemma":[0.6696182,0.0003107142,0.3153801,0.00009679124,0.00004824721,0.001255093,0.002252144,0.0002544755,0.01078414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01057024,"threshold_uncertainty_score":0.03536093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314523922","doi":"10.1177/1555343416636515","title":"The ShadowBox Approach to Cognitive Skills Training","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of British Columbia","keywords":"Cognition; Cognitive training; Cognitive skill; Psychology; Applied psychology; Computer science","authors":[{"name":"Gary Klein","is_ca":false},{"name":"Joseph Borders","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02058667607297688,"gpt":0.3131264873993531,"spread":0.2925398113263762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009481826,0.0007070029,0.0003914467,0.0008626653,0.0004083231,0.0008008181,0.001334751,0.0007308139,0.03212877],"category_scores_gemma":[0.00233496,0.0003117438,0.0005811689,0.0004263505,0.0005029843,0.0008866721,0.002334022,0.001150104,0.005037652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005164692,"about_ca_system_score_gemma":0.001124686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001374702,"about_ca_topic_score_gemma":0.003517978,"domain_scores_codex":[0.9993476,0.0001941178,0.00002672647,0.0001564947,0.0001929981,0.00008211413],"domain_scores_gemma":[0.99854,0.0006530115,0.00008205434,0.000255487,0.0001642022,0.0003052444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001501968,0.01030489,0.002211143,0.0007667277,0.00005230034,0.0001693056,0.001865229,0.003617327,0.05242802,0.005072596,0.01788276,0.9041277],"study_design_scores_gemma":[0.005526918,0.04019219,0.1199493,0.002105852,0.0004149269,0.002953873,0.00463779,0.08078552,0.1146758,0.04759137,0.5805612,0.0006053951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3372072,0.001189629,0.549077,0.001615552,0.001125619,0.005239798,0.0008224995,0.009226161,0.09449653],"genre_scores_gemma":[0.4530258,0.001553031,0.4617895,0.001452717,0.0002733057,0.007373992,0.0008246957,0.0007438709,0.07296299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03212877,"threshold_uncertainty_score":0.1074815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2315359425","doi":"10.1177/1555343413488391","title":"Twenty Years of Cognitive Work Analysis in Health Care","year":2013,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Alzheimer Society","keywords":"Health care; Work (physics); Health informatics; Cognition; Context (archaeology); Informatics; Computer science; Knowledge management; Management science; Data science; Psychology; Risk analysis (engineering); Medicine; Engineering; Political science","authors":[{"name":"Tizneem Jiancaro","is_ca":true},{"name":"Greg A. Jamieson","is_ca":true},{"name":"Alex Mihailidis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03259160109970542,"gpt":0.3956430049256184,"spread":0.3630514038259129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03172472,0.001539014,0.001358574,0.007866868,0.003716126,0.01173721,0.001984952,0.00402806,0.004867272],"category_scores_gemma":[0.03473705,0.0007819575,0.001187113,0.007299605,0.02003636,0.01247644,0.009738067,0.007404801,0.0008404288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01298576,"about_ca_system_score_gemma":0.01238545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01050632,"about_ca_topic_score_gemma":0.01164035,"domain_scores_codex":[0.9846906,0.008968488,0.001112262,0.001356897,0.003234362,0.000637356],"domain_scores_gemma":[0.9518529,0.03399501,0.001748505,0.003006135,0.006790872,0.002606701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002020241,0.000236212,0.008287785,0.003713392,0.0002360892,0.0002113594,0.02041493,0.001177516,0.000458915,0.2133057,0.03836392,0.7133921],"study_design_scores_gemma":[0.00004109848,0.0003623573,0.01438252,0.0124971,0.0001151927,0.0006020659,0.0174957,0.0012857,0.0005155571,0.1969026,0.7556012,0.0001988818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01439244,0.7519019,0.02267834,0.1637933,0.008669032,0.000155358,0.0001675373,0.0001189606,0.03812309],"genre_scores_gemma":[0.2398654,0.6289786,0.05017889,0.05194981,0.01669939,0.0004814983,0.0002746704,0.0001929601,0.01137887],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03172472,"threshold_uncertainty_score":0.1677784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2100987193","doi":"10.1518/155534307x255654","title":"Intelligent Adaptive Interfaces for the Control of Multiple UAVs","year":2007,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Workload; Situation awareness; Workstation; Task (project management); Computer science; Control (management); Human–computer interaction; Interface (matter); Simulation; Engineering; Systems engineering; Artificial intelligence; Operating system","authors":[{"name":"Ming Hou","is_ca":true},{"name":"Robert D. Kobierski","is_ca":false},{"name":"Matthew Brown","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03860555287976615,"gpt":0.3730407804181074,"spread":0.3344352275383413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003325437,0.0003468326,0.0001711946,0.0001553149,0.0002050646,0.0004725509,0.0004501302,0.0003322801,0.00239643],"category_scores_gemma":[0.001542157,0.0001183152,0.0001581998,0.000109192,0.0002631104,0.000540984,0.0003990457,0.0004293073,0.000250896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278659,"about_ca_system_score_gemma":0.0001860162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009659322,"about_ca_topic_score_gemma":0.001034278,"domain_scores_codex":[0.9998223,0.00006106384,0.00001050005,0.00002822326,0.00006338889,0.00001455048],"domain_scores_gemma":[0.9996308,0.0001986831,0.0000507175,0.00003861369,0.00006002358,0.00002108896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009994453,0.0004356433,0.004760385,0.0004509601,0.000119192,0.0006725148,0.001898657,0.2388658,0.1691104,0.08408935,0.006596635,0.4920011],"study_design_scores_gemma":[0.00009251069,0.0005521444,0.002281879,0.00004779249,0.00005821709,0.0002362337,0.0001874125,0.9543931,0.01032168,0.01526795,0.01653263,0.00002831012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1295415,0.0006721352,0.8546451,0.0002834648,0.0001777415,0.0001283137,0.0000389658,0.001413348,0.01309939],"genre_scores_gemma":[0.9186177,0.0002243101,0.07820275,0.00007586755,0.0000317662,0.0001183325,0.00004536004,0.00002357041,0.002660336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00239643,"threshold_uncertainty_score":0.008016884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2766932986","doi":"10.1177/1555343417732856","title":"Levels of Automation in Human Factors Models for Automation Design: Why We Might Consider Throwing the Baby Out With the Bathwater","year":2017,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Federal Aviation Administration","keywords":"Automation; Computer science; Throwing; Value (mathematics); Space (punctuation); Human–computer interaction; Data science; Engineering; Machine learning","authors":[{"name":"Greg A. Jamieson","is_ca":true},{"name":"Gyrd Skraaning","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.114423581405533,"gpt":0.392168404635185,"spread":0.277744823229652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0357419,0.00148471,0.001516011,0.002224758,0.003183971,0.009353138,0.003349709,0.005886097,0.003900784],"category_scores_gemma":[0.06149078,0.001549796,0.001090153,0.001526921,0.03534968,0.02347934,0.007466411,0.01488385,0.002022425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005327511,"about_ca_system_score_gemma":0.00460749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006668227,"about_ca_topic_score_gemma":0.007029766,"domain_scores_codex":[0.9767973,0.01744904,0.0007345763,0.001589458,0.002743439,0.0006863375],"domain_scores_gemma":[0.9418683,0.04471477,0.002206196,0.005361907,0.00459009,0.001258684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007080674,0.00005438045,0.0009357527,0.0002481056,0.00004368534,0.00008000471,0.01077177,0.005228784,0.0001746977,0.9510931,0.007014606,0.02428427],"study_design_scores_gemma":[0.00003958087,0.00005146967,0.0002375254,0.0004039768,0.00001963365,0.0000467059,0.001880383,0.005435384,0.0001642673,0.9520077,0.03966146,0.00005184981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01751912,0.01741473,0.5273648,0.4033696,0.001872144,0.0001280339,0.00008267529,0.0006512612,0.03159769],"genre_scores_gemma":[0.7646258,0.007514522,0.1873596,0.03056825,0.001006888,0.0005996234,0.00006712874,0.0004681341,0.007790127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0357419,"threshold_uncertainty_score":0.1890235,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2046742742","doi":"10.1518/155534307x232848","title":"Using GOMS for Modeling Routine Tasks Within Complex Sociotechnical Systems: Connecting Macrocognitive Models to Microcognition","year":2007,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Sociotechnical system; Computer science; Task (project management); Cognitive ergonomics; Cognition; Cognitive model; Socio-cognitive; Work (physics); Systems modeling; Human–computer interaction; Complex system; Management science; Systems engineering; Artificial intelligence; Engineering; Software engineering; Poison control; Psychology; Human factors and ergonomics","authors":[{"name":"Robert West","is_ca":true},{"name":"Gabriella Simon-Nagy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1037909635806773,"gpt":0.3535818224589831,"spread":0.2497908588783058,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001682329,0.0007996103,0.0005156668,0.001395381,0.0006495503,0.002039101,0.00168234,0.001073024,0.003376656],"category_scores_gemma":[0.009314689,0.0004778238,0.0008912142,0.0009894143,0.002061087,0.004088141,0.001593387,0.001529362,0.0003240145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229712,"about_ca_system_score_gemma":0.001349432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096726,"about_ca_topic_score_gemma":0.01632483,"domain_scores_codex":[0.9993291,0.0003784969,0.00003540873,0.000108508,0.00009251294,0.00005602232],"domain_scores_gemma":[0.9936281,0.004491194,0.0005213614,0.0007948481,0.0003590453,0.0002053893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000092618,0.0001538206,0.0125191,0.000140565,0.00008329935,0.0001684552,0.002856101,0.6837462,0.0008816152,0.2748789,0.0004645801,0.02401483],"study_design_scores_gemma":[0.00002013244,0.00004339761,0.001464296,0.00002531201,0.00001968222,0.00003448338,0.0003716079,0.8435046,0.0002953293,0.1523276,0.001874336,0.00001920589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2660215,0.0001724478,0.7167503,0.0009439926,0.00003374686,0.0001759324,0.0002129883,0.0003416521,0.01534742],"genre_scores_gemma":[0.8528774,0.0001290293,0.144612,0.00006673301,0.00001248232,0.000423563,0.0001004427,0.0000536405,0.001724614],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01096726,"threshold_uncertainty_score":0.02180684,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2617922124","doi":"10.1177/1555343417709669","title":"Modeling Automation With Cognitive Work Analysis to Support Human-Automation Coordination","year":2017,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Centre for Bioengineering and Biotechnology, University of Waterloo; Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Computer science; Hierarchy; Domain (mathematical analysis); Abstraction; Human–computer interaction; Layering; Software engineering; Artificial intelligence; Engineering","authors":[{"name":"Yeti Li","is_ca":true},{"name":"Catherine M. Burns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03543913124966284,"gpt":0.391931794404927,"spread":0.3564926631552641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00209707,0.0009779931,0.0003886153,0.002108876,0.001002777,0.00379606,0.001109389,0.0008084988,0.004059602],"category_scores_gemma":[0.007724964,0.0004805821,0.001372037,0.001385948,0.002171346,0.003825595,0.002590584,0.001327788,0.0004744215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842358,"about_ca_system_score_gemma":0.00230758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008916413,"about_ca_topic_score_gemma":0.00722187,"domain_scores_codex":[0.9987583,0.0006374942,0.0000860948,0.0001958317,0.0002177479,0.0001045527],"domain_scores_gemma":[0.9951297,0.003195165,0.0005286915,0.0006264318,0.0003115094,0.0002085136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001692387,0.0003328565,0.01329903,0.0002639383,0.0001416721,0.0002319358,0.007229866,0.399683,0.002964293,0.4890937,0.001774469,0.08481601],"study_design_scores_gemma":[0.00004443534,0.00007356281,0.002438727,0.00008408767,0.00004701325,0.00006004468,0.001050423,0.7363526,0.001075571,0.2496493,0.009081456,0.00004271947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05292203,0.0001164989,0.9314572,0.0005364261,0.00002305524,0.0001355104,0.0001243923,0.0004830492,0.01420184],"genre_scores_gemma":[0.564989,0.0001643883,0.4328932,0.00004749949,0.00002046902,0.0002790658,0.000155782,0.00005801184,0.001392585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008916413,"threshold_uncertainty_score":0.01772904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103865800","doi":"10.1177/1555343414540172","title":"Comparing Cognitive Efficiency of Experienced and Inexperienced Designers in Conceptual Design Processes","year":2014,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Design Education and Practice","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of New Brunswick","funders":"","keywords":"Creativity; Cognition; Conceptual design; Quality (philosophy); Computer science; Engineering design process; Design process; Design education; Process (computing); Psychology; Human–computer interaction; Engineering; Social psychology; Work in process; Operations management","authors":[{"name":"Ganyun Sun","is_ca":true},{"name":"Shengji Yao","is_ca":true},{"name":"Juan A. Carretero","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03648772234528918,"gpt":0.306836422491104,"spread":0.2703487001458148,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009228442,0.0005607714,0.0005209228,0.00269777,0.000320171,0.002765639,0.0005422186,0.000652693,0.001141722],"category_scores_gemma":[0.04731235,0.0003315513,0.0006839125,0.0008982705,0.0008332219,0.001435279,0.001428812,0.0004344197,0.0002400514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363313,"about_ca_system_score_gemma":0.0004748984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004619591,"about_ca_topic_score_gemma":0.0005466049,"domain_scores_codex":[0.9928565,0.003151743,0.0009139074,0.0008115552,0.001822502,0.0004437684],"domain_scores_gemma":[0.9509082,0.03551758,0.004695048,0.00392827,0.003556206,0.001394649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002061801,0.001594911,0.620039,0.0009132109,0.001121442,0.0004626674,0.04881405,0.01036506,0.03178814,0.002002364,0.0003828842,0.2804544],"study_design_scores_gemma":[0.0002140921,0.002557002,0.9438522,0.0001630648,0.0003828683,0.001124893,0.01465866,0.01648701,0.01204383,0.004989985,0.003317298,0.0002090214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929345,0.0001692231,0.005011079,0.00001634059,0.000002656077,0.00002680129,0.00001654354,0.00001539254,0.001807425],"genre_scores_gemma":[0.9953523,0.000129758,0.003869086,0.00001561071,0.000003624467,0.00003445374,0.00005932543,0.00000780949,0.0005280311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009228442,"threshold_uncertainty_score":0.04880524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163019878","doi":"10.1177/1555343414532813","title":"Exploring the Use of Categories in the Assessment of Airline Pilots’ Performance as a Potential Source of Examiners’ Disagreement","year":2014,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Griffith University","keywords":"Aviation; Aviation accident; Psychology; Applied psychology; Aviation safety; Computer science; Engineering","authors":[{"name":"David E. Weber","is_ca":false},{"name":"Timothy J. Mavin","is_ca":false},{"name":"Wolff‐Michael Roth","is_ca":true},{"name":"Éder Henriqson","is_ca":false},{"name":"Sidney Dekker","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09387926552206022,"gpt":0.3587214757991561,"spread":0.2648422102770959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1519472,0.000566753,0.0009192266,0.006711351,0.002421608,0.004659046,0.001586596,0.001338403,0.0005322397],"category_scores_gemma":[0.3907918,0.0006683335,0.0009434395,0.002414051,0.004675856,0.002531622,0.006550982,0.001495157,0.0001738602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002260164,"about_ca_system_score_gemma":0.00199024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00465958,"about_ca_topic_score_gemma":0.005050386,"domain_scores_codex":[0.794912,0.1486363,0.01985055,0.006836915,0.02695784,0.002806356],"domain_scores_gemma":[0.4557998,0.4359058,0.03657296,0.01881042,0.04986355,0.003047517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007354235,0.0001555585,0.4373236,0.0007272317,0.0005423381,0.0009549289,0.4864083,0.0008096157,0.007149318,0.002732882,0.0008480291,0.06161274],"study_design_scores_gemma":[0.0001259319,0.001099346,0.5167018,0.001874311,0.0003887174,0.003044285,0.433345,0.01005027,0.009218919,0.01142763,0.01227537,0.0004484699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871386,0.0007547882,0.008643554,0.0006510157,0.00007622472,0.0001356967,0.00004174509,0.00003070836,0.002527687],"genre_scores_gemma":[0.9957811,0.0001528945,0.003523077,0.0001554576,0.00002985372,0.0001125883,0.00004687413,0.00001436335,0.000183911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1519472,"threshold_uncertainty_score":0.803583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123927446","doi":"10.1177/1555343412440697","title":"Designing for Social Engagement in Online Social Networks Using Communities-of-Practice Theory and Cognitive Work Analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Knowledge management; Usability; Online participation; Social computing; Process (computing); Social engagement; Domain (mathematical analysis); Online community; Computer science; Sociology; Public relations; World Wide Web; Social media; The Internet; Human–computer interaction; Political science; Social science","authors":[{"name":"Adam Euerby","is_ca":true},{"name":"Catherine M. Burns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08574631084439252,"gpt":0.3984166853676293,"spread":0.3126703745232368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01535494,0.001028754,0.0007618513,0.004570127,0.005093208,0.009137766,0.002585981,0.002639651,0.003648779],"category_scores_gemma":[0.01998008,0.000848869,0.00195223,0.002114978,0.0131235,0.01185345,0.007946778,0.002569972,0.0004213196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004761798,"about_ca_system_score_gemma":0.004918352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002708122,"about_ca_topic_score_gemma":0.003530457,"domain_scores_codex":[0.9843232,0.01208352,0.0004674328,0.001027934,0.001552535,0.0005453246],"domain_scores_gemma":[0.9756861,0.01961976,0.001071839,0.001577347,0.001098927,0.0009460294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007676249,0.0009117749,0.00914059,0.001044864,0.0002022519,0.0007562517,0.1073468,0.02230668,0.002638907,0.7141371,0.003527978,0.1379102],"study_design_scores_gemma":[0.0002096644,0.0002693064,0.002514811,0.0007273596,0.00009744891,0.0005691671,0.07535028,0.09758483,0.002736839,0.7571365,0.06268009,0.0001236535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05795237,0.000383944,0.9117627,0.003703713,0.00006986366,0.001230767,0.00003399478,0.0002443829,0.02461829],"genre_scores_gemma":[0.5115228,0.0003024413,0.4835523,0.0002465149,0.00002224662,0.00175539,0.00006111269,0.00006723165,0.002469926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01535494,"threshold_uncertainty_score":0.08120561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2507495592","doi":"10.1177/1555343416661889","title":"Judgment Analysis in a Dynamic Multitask Environment: Capturing Nonlinear Policies Using Decision Trees","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Thales (Canada)","funders":"","keywords":"Decision tree; Computer science; Machine learning; Heuristics; Artificial intelligence; Bootstrapping (finance); Data mining; Decision tree learning; Decision support system; Incremental decision tree; Decision rule; Task (project management); Econometrics; Mathematics","authors":[{"name":"Daniel Lafond","is_ca":true},{"name":"Benoît Roberge-Vallières","is_ca":false},{"name":"François Vachon","is_ca":false},{"name":"Sébastien Tremblay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04999714675743787,"gpt":0.3685728752280218,"spread":0.318575728470584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005927311,0.0007152137,0.001028119,0.001227993,0.0006114143,0.00161302,0.001148485,0.0008700561,0.00109225],"category_scores_gemma":[0.03440665,0.0003686998,0.0007626728,0.001167214,0.0007369565,0.002966468,0.0008478966,0.001912148,0.0003703914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267807,"about_ca_system_score_gemma":0.001590403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006685871,"about_ca_topic_score_gemma":0.005874565,"domain_scores_codex":[0.9974439,0.001438724,0.0001576684,0.0004702424,0.0003577086,0.0001318159],"domain_scores_gemma":[0.9733695,0.02087703,0.001984682,0.001856245,0.001405416,0.0005071968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004398873,0.0005485614,0.02287209,0.0002077391,0.0001674015,0.0001567189,0.001250244,0.7416427,0.004349094,0.01346705,0.001509707,0.2133889],"study_design_scores_gemma":[0.000007885211,0.00003733934,0.001497981,0.00001071381,0.000007308879,0.00001235121,0.00005300976,0.9859577,0.0007225778,0.0114383,0.00024014,0.00001464964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2060619,0.0001113681,0.7914699,0.0002419607,0.00002541422,0.0001239066,0.0001463983,0.0004769083,0.001342184],"genre_scores_gemma":[0.7930167,0.00007935703,0.2060505,0.00008495209,0.00001516538,0.0001229884,0.0002124914,0.00004501066,0.0003729304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006685871,"threshold_uncertainty_score":0.03134698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380271342","doi":"10.1177/15553434231171484","title":"Does It MultiMatch? What Scanpath Comparison Tells us About Task Performance in Teams","year":2023,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Teamwork; Workload; Task (project management); Computer science; Context (archaeology); Similarity (geometry); Artificial intelligence; Machine learning; Engineering","authors":[{"name":"Mohamad El Iskandarani","is_ca":false},{"name":"Jad A. Atweh","is_ca":false},{"name":"Shannon P. D. McGarry","is_ca":false},{"name":"Sara L. Riggs","is_ca":false},{"name":"Nadine Marie Moacdieh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02030495061285501,"gpt":0.3666193155963371,"spread":0.3463143649834821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003782361,0.0004345594,0.000576362,0.002960213,0.0006627366,0.001993066,0.0005687697,0.0008242206,0.002890977],"category_scores_gemma":[0.03774302,0.0002647283,0.0005112355,0.002217362,0.001377914,0.004660274,0.001265612,0.0006539807,0.0004451507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005258329,"about_ca_system_score_gemma":0.0003713389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136195,"about_ca_topic_score_gemma":0.002624308,"domain_scores_codex":[0.9977455,0.0008828223,0.0001452328,0.0006539546,0.0004335273,0.0001389621],"domain_scores_gemma":[0.9767209,0.0135617,0.005024219,0.002175818,0.001567669,0.0009495587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002311343,0.0002595039,0.6447547,0.000456057,0.0005814856,0.0002837012,0.01043663,0.003796521,0.008615995,0.004758163,0.002441077,0.3213048],"study_design_scores_gemma":[0.00004173501,0.001049019,0.9480668,0.00017757,0.0001503163,0.0006143179,0.006869708,0.01205075,0.002438452,0.02458364,0.003829959,0.0001276939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721562,0.001047853,0.01998523,0.0007340987,0.00008609162,0.0000307937,0.0003077387,0.0001613927,0.005490474],"genre_scores_gemma":[0.9940975,0.0002564249,0.004805342,0.0001171965,0.00005333568,0.00003127517,0.0002037146,0.00004708043,0.0003882523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003782361,"threshold_uncertainty_score":0.02000326,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2158737396","doi":"10.1177/1555343415591395","title":"Cultural Practices and Cognition in Debriefing","year":2015,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Griffith University","keywords":"Debriefing; Recall; Cognition; Psychology; Think aloud protocol; Applied psychology; Protocol analysis; Social psychology; Cognitive psychology; Computer science; Cognitive science; Human–computer interaction","authors":[{"name":"Wolff‐Michael Roth","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1699656160480233,"gpt":0.5254188067284895,"spread":0.3554531906804662,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05107448,0.0007721315,0.0003269385,0.001843784,0.004186929,0.004920084,0.001210379,0.0009066953,0.001114973],"category_scores_gemma":[0.1496635,0.0005050814,0.0005168395,0.001072426,0.009132599,0.003297042,0.004733913,0.002615453,0.0001429958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004846523,"about_ca_system_score_gemma":0.003845434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005188019,"about_ca_topic_score_gemma":0.008299102,"domain_scores_codex":[0.9011174,0.08590829,0.003312295,0.002320661,0.005708844,0.001632538],"domain_scores_gemma":[0.8652341,0.09780025,0.01563105,0.008153516,0.01039878,0.002782305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000386146,0.0002535655,0.03217795,0.0006203082,0.0001578727,0.0002664254,0.8332038,0.0007415361,0.007161605,0.02048879,0.0007706524,0.1037714],"study_design_scores_gemma":[0.00008593084,0.0006049704,0.1014632,0.002168027,0.0001475823,0.001212037,0.7827639,0.002882207,0.008574698,0.05187594,0.04780801,0.0004135112],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8566023,0.002506586,0.1094696,0.002951348,0.0003118376,0.000442747,0.00004773491,0.0001447996,0.02752291],"genre_scores_gemma":[0.9776856,0.00041081,0.02055287,0.0003515969,0.00004290101,0.0002763215,0.00002301238,0.0000327334,0.0006242658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05107448,"threshold_uncertainty_score":0.2701108,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099372490","doi":"10.1177/1555343412446193","title":"Support Requirements for Cognitive Readiness in Complex Operations","year":2012,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Defence Research and Development Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anticipation (artificial intelligence); Cognition; Computer science; Task (project management); Term (time); Risk analysis (engineering); Focus (optics); Knowledge management; Cognitive psychology; Process management; Management science; Psychology; Artificial intelligence; Engineering; Systems engineering","authors":[{"name":"Daniel Lafond","is_ca":true},{"name":"Michel B. Ducharme","is_ca":true},{"name":"Jean‐François Gagnon","is_ca":true},{"name":"Sébastien Tremblay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1915389963374728,"gpt":0.4439131823142863,"spread":0.2523741859768135,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003210561,0.000364634,0.0003246766,0.0003537524,0.0003921588,0.001749468,0.0006345882,0.001004897,0.003467458],"category_scores_gemma":[0.03262559,0.0002902253,0.0003060782,0.0002489015,0.0008502095,0.001800108,0.00137574,0.001048339,0.000255899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000493075,"about_ca_system_score_gemma":0.0008621234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003393049,"about_ca_topic_score_gemma":0.0003876658,"domain_scores_codex":[0.9977428,0.001034082,0.0002098015,0.0002096411,0.0006234286,0.0001802717],"domain_scores_gemma":[0.9811262,0.0134412,0.002404043,0.001162444,0.001058797,0.0008071077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003958663,0.005644737,0.09930589,0.003937624,0.000340617,0.002300783,0.01875422,0.0396165,0.2024004,0.1261464,0.00294634,0.4946479],"study_design_scores_gemma":[0.001622003,0.01729039,0.3580351,0.0010133,0.0009253026,0.004079112,0.01618664,0.1879549,0.1320811,0.2433328,0.03686296,0.0006163691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602837,0.0002150639,0.02584576,0.0008793668,0.00001953708,0.0002803504,0.00003307895,0.0001188643,0.01232426],"genre_scores_gemma":[0.9888906,0.00006967634,0.01043322,0.00007797487,0.000005958002,0.0001787401,0.00003255328,0.000007539626,0.0003035305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003467458,"threshold_uncertainty_score":0.01697928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075418616","doi":"10.1518/155534309x441853","title":"Modeling SGOMS in ACT-R: Linking Macro- and Microcognition","year":2009,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Cognitive architecture; Sociotechnical system; Computer science; Cognitive science; Cognition; Architecture; Cognitive model; Macro; Selection (genetic algorithm); Software engineering; Human–computer interaction; Artificial intelligence; Psychology; Programming language","authors":[{"name":"Robert West","is_ca":true},{"name":"Sylvain Pronovost","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01489880722757877,"gpt":0.2751815534824121,"spread":0.2602827462548333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029954,0.0007082158,0.0004258182,0.001004257,0.0006946063,0.003026645,0.001325633,0.001216669,0.004891534],"category_scores_gemma":[0.008338688,0.000647355,0.001229946,0.0006731373,0.002774058,0.004884701,0.002532944,0.002005106,0.0008905003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601333,"about_ca_system_score_gemma":0.002009646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007201355,"about_ca_topic_score_gemma":0.01033818,"domain_scores_codex":[0.9977905,0.001458584,0.000108085,0.0002915021,0.0002597239,0.00009155007],"domain_scores_gemma":[0.9952576,0.002742199,0.0004033447,0.001014684,0.0003781711,0.0002040621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001583818,0.0001508933,0.007222714,0.0001876523,0.0001114545,0.0003510053,0.005552946,0.2071991,0.002159146,0.721422,0.0013263,0.05415832],"study_design_scores_gemma":[0.00005591193,0.00007370605,0.001164714,0.00005642321,0.00006639902,0.0001443893,0.0003958497,0.6521942,0.002089874,0.332656,0.01105419,0.00004838889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05338418,0.00008751941,0.9258469,0.00066171,0.00003103909,0.0001467914,0.0001343476,0.0008619579,0.01884565],"genre_scores_gemma":[0.4844232,0.0001025416,0.5116478,0.0001244182,0.00001322322,0.0003355246,0.0001734605,0.0001178723,0.003062025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007201355,"threshold_uncertainty_score":0.01636386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385145728","doi":"10.1177/15553434231189375","title":"The Failure to Grasp Automation Failure","year":2023,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; GRASP; Computer science; Construct (python library); Aviation; Confusion; Risk analysis (engineering); Engineering; Software engineering; Psychology; Medicine","authors":[{"name":"Gyrd Skraaning","is_ca":false},{"name":"Greg A. Jamieson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01836648249610327,"gpt":0.3559266117424469,"spread":0.3375601292463436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006214595,0.001068537,0.0008702998,0.002788287,0.002267128,0.005344607,0.001573049,0.004174952,0.003811759],"category_scores_gemma":[0.0213568,0.0003926907,0.0008043982,0.001712217,0.0246564,0.01409165,0.006814151,0.006738297,0.0008736577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815385,"about_ca_system_score_gemma":0.001862138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002747011,"about_ca_topic_score_gemma":0.001429102,"domain_scores_codex":[0.9955775,0.001612317,0.000329885,0.0007307977,0.001270916,0.0004785726],"domain_scores_gemma":[0.9819515,0.01047277,0.002288689,0.002436462,0.002111176,0.000739439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007121783,0.00005173283,0.0120024,0.0004053644,0.00003841057,0.0003435503,0.01356065,0.005168347,0.0009929347,0.9071486,0.005472687,0.05474417],"study_design_scores_gemma":[0.000008684064,0.0001097568,0.008812991,0.0003829994,0.00001854373,0.0004874014,0.005337444,0.005076677,0.0003825946,0.9518486,0.02747901,0.0000553959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2551977,0.01772775,0.5005464,0.07185171,0.001126272,0.0002558747,0.0005892977,0.0006359452,0.1520691],"genre_scores_gemma":[0.9693002,0.003740306,0.01940786,0.003302378,0.0002941368,0.000176648,0.0001529875,0.00007380039,0.003551676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006214595,"threshold_uncertainty_score":0.0328663,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148104117","doi":"10.1177/1555343414554702","title":"Personality, Cognitive Style, Motivation, and Aptitude Predict Systematic Trends in Analytic Forecasting Behavior","year":2014,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Intelligence Advanced Research Projects Activity; Interior Business Center; University of Toronto; U.S. Department of the Interior","keywords":"Aptitude; Psychology; Personality; Cognition; Big Five personality traits; Psychometrics; Cognitive style; Sample (material); Cognitive psychology; Social psychology; Developmental psychology","authors":[{"name":"Joshua Poore","is_ca":false},{"name":"Clifton Forlines","is_ca":false},{"name":"Sarah Miller","is_ca":false},{"name":"John Regan","is_ca":false},{"name":"John M. Irvine","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08933300199234538,"gpt":0.3610452068848606,"spread":0.2717122048925152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002254162,0.0001959882,0.0001275767,0.0007210112,0.000184505,0.0008704379,0.0001637368,0.0003001739,0.00139679],"category_scores_gemma":[0.015386,0.0001226579,0.0003198,0.0005494417,0.0003440914,0.0005580641,0.0004103154,0.0004954018,0.0002661559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996522,"about_ca_system_score_gemma":0.0002927107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202101,"about_ca_topic_score_gemma":0.003014338,"domain_scores_codex":[0.9996442,0.0001611524,0.00002982276,0.00004573798,0.00007363823,0.00004552795],"domain_scores_gemma":[0.985727,0.007955709,0.003692058,0.001149489,0.0006604478,0.0008153147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003334978,0.0000639171,0.993956,0.000003221606,0.00003151339,0.000008902691,0.0001833028,0.0002677075,0.0002201871,0.00008372454,0.00003728209,0.005110843],"study_design_scores_gemma":[0.000001999984,0.00007814687,0.9968352,0.000003036181,0.000009067672,0.00002045844,0.0001684793,0.002246691,0.0001269407,0.0004149112,0.00009194105,0.000003161461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992657,0.00002516963,0.0002676546,0.00002719394,0.00000145969,0.000003958108,0.00003095193,0.000003312888,0.000374499],"genre_scores_gemma":[0.9994857,0.00002387794,0.0002952909,0.000008546685,0.000002637536,0.000003640154,0.00007245861,0.00000108958,0.0001067825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002254162,"threshold_uncertainty_score":0.01192129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393010663","doi":"10.1177/15553434241240553","title":"The Influence of Agent Transparency and Complexity on Situation Awareness, Mental Workload, and Task Performance","year":2024,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Norges Forskningsråd","keywords":"Transparency (behavior); Workload; Computer science; Task (project management); Comprehension; Human–computer interaction; Computer security; Engineering; Systems engineering","authors":[{"name":"Koen van de Merwe","is_ca":false},{"name":"Steven Mallam","is_ca":true},{"name":"Salman Nazir","is_ca":false},{"name":"Øystein Engelhardtsen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03941185628199759,"gpt":0.362154476461626,"spread":0.3227426201796284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001903277,0.0004371283,0.0002327556,0.0003508299,0.0002944831,0.001306854,0.0003033078,0.0004002547,0.001104032],"category_scores_gemma":[0.03045284,0.0003250027,0.000259751,0.0001279462,0.0007706459,0.0009039738,0.001040942,0.0006840171,0.00008177906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000358278,"about_ca_system_score_gemma":0.0004367191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388094,"about_ca_topic_score_gemma":0.001185018,"domain_scores_codex":[0.9981369,0.0008001517,0.0001383974,0.000206059,0.0005628353,0.0001557127],"domain_scores_gemma":[0.9681216,0.0245585,0.00349327,0.001418107,0.001110954,0.001297563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01145232,0.004678767,0.3468835,0.0009405699,0.0007435278,0.0008493156,0.024235,0.03297861,0.439245,0.002780086,0.001038572,0.1341747],"study_design_scores_gemma":[0.0002729435,0.005902252,0.9051269,0.00008217993,0.0003011469,0.0003640248,0.002988055,0.04454722,0.03552466,0.003495305,0.00120532,0.0001899663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954292,0.00003009886,0.00355128,0.00003464916,0.000005997522,0.00003076243,0.00001280334,0.00002920776,0.0008759332],"genre_scores_gemma":[0.9977731,0.0000152294,0.002030547,0.0000105111,0.000003452622,0.00002176618,0.00001908617,0.000006368252,0.0001199216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001903277,"threshold_uncertainty_score":0.01006562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2473322218","doi":"10.1177/1555343416657237","title":"Training Change Agents in CTA to Bring Health Care Transformation to Scale","year":2016,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Task (project management); Transformational leadership; Scale (ratio); Health care; Medical education; Interview; Motivational interviewing; Computer science; Applied psychology; Psychology; Intervention (counseling); Nursing; Knowledge management; Process management; Medicine; Engineering; Social psychology","authors":[{"name":"Georges Potworowski","is_ca":false},{"name":"Lee A. Green","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5271666404804437,"gpt":0.6279348470391299,"spread":0.1007682065586862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02400491,0.0008492623,0.000467594,0.001547981,0.003980714,0.00410403,0.002277,0.001973127,0.0093163],"category_scores_gemma":[0.05017813,0.001099933,0.0006226633,0.001021994,0.00170245,0.003183626,0.006812421,0.004990408,0.003037923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003466155,"about_ca_system_score_gemma":0.01589498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003930444,"about_ca_topic_score_gemma":0.01475834,"domain_scores_codex":[0.9855394,0.009797769,0.0005387714,0.001052412,0.001703352,0.001368255],"domain_scores_gemma":[0.9517872,0.02325017,0.003144197,0.004628026,0.006790929,0.01039949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005537034,0.01551041,0.03427797,0.001297509,0.00009064865,0.000878754,0.1304859,0.005983568,0.01461541,0.009313804,0.0626144,0.7243779],"study_design_scores_gemma":[0.001866507,0.009966764,0.08978447,0.002527585,0.0002519066,0.001659087,0.10217,0.03907264,0.02404565,0.03159701,0.6964602,0.0005981672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.490019,0.0007116551,0.3614542,0.04220554,0.001301777,0.01796369,0.0003806677,0.006454029,0.0795095],"genre_scores_gemma":[0.4430396,0.0006601148,0.5298639,0.003589268,0.0002835187,0.006264655,0.0002801977,0.0002449451,0.01577381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02400491,"threshold_uncertainty_score":0.1269517,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2762075223","doi":"10.1177/1555343417735398","title":"The Benefits and the Costs of Using Auditory Warning Messages in Dynamic Decision-Making Settings","year":2017,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Task (project management); Computer science; Notice; Cued speech; Computer security; Warning system; Work (physics); Applied psychology; Situation awareness; Cognitive psychology; Psychology; Human–computer interaction; Engineering","authors":[{"name":"Cindy Chamberland","is_ca":true},{"name":"Helen M. Hodgetts","is_ca":false},{"name":"Benoît R. Vallières","is_ca":false},{"name":"François Vachon","is_ca":false},{"name":"Sébastien Tremblay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01567050555873399,"gpt":0.3620453346085886,"spread":0.3463748290498546,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003068435,0.0005338605,0.0002210529,0.0008010738,0.0004455526,0.001426528,0.0004390458,0.0008721697,0.002519997],"category_scores_gemma":[0.03951025,0.0003635057,0.0003088229,0.0003815284,0.0007175985,0.001685077,0.001049868,0.0007159567,0.0001921339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006217815,"about_ca_system_score_gemma":0.0006439185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446912,"about_ca_topic_score_gemma":0.002752881,"domain_scores_codex":[0.9971746,0.001507454,0.0002516641,0.0001523174,0.0006761671,0.0002377405],"domain_scores_gemma":[0.9592662,0.03346134,0.003560442,0.00117085,0.001263172,0.001277968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01163637,0.005476596,0.2423337,0.00136814,0.0005022567,0.001686839,0.006247706,0.01442486,0.07558345,0.005274434,0.001529834,0.6339359],"study_design_scores_gemma":[0.0007051419,0.008527581,0.9163805,0.0003708404,0.0008857185,0.001581053,0.009701283,0.02883558,0.01536619,0.01372316,0.003688854,0.0002341255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935048,0.0003670074,0.001430074,0.0005575772,0.00002366162,0.00003915633,0.00002339867,0.00002200539,0.004032379],"genre_scores_gemma":[0.9974965,0.0001551869,0.002042177,0.00006833733,0.00001999984,0.00002144965,0.0000124288,0.000005250722,0.0001785812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003068435,"threshold_uncertainty_score":0.0162276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765913378","doi":"10.1177/1555343417724975","title":"Automation and the Human Factors Race to Catch Up","year":2017,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Automation; Pace; Field (mathematics); Computer science; Race (biology); Data science; Sociology; Engineering","authors":[{"name":"Catherine M. Burns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03573835585750612,"gpt":0.3980936480376214,"spread":0.3623552921801153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01324645,0.0008859463,0.001332318,0.003335888,0.004260106,0.0122613,0.001282509,0.007673071,0.01224949],"category_scores_gemma":[0.01559134,0.0004361321,0.001005721,0.002209845,0.03796815,0.02045599,0.006168501,0.0116137,0.001710806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004626059,"about_ca_system_score_gemma":0.00437632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007513141,"about_ca_topic_score_gemma":0.004870654,"domain_scores_codex":[0.9905873,0.004732452,0.0002762769,0.001519326,0.001995921,0.0008887309],"domain_scores_gemma":[0.9717557,0.02122431,0.0009991819,0.001721914,0.002618125,0.001680851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001402467,0.0001484641,0.003832952,0.000429578,0.0001110905,0.0001985955,0.01409179,0.0008501152,0.0003458752,0.8151715,0.04222186,0.1224578],"study_design_scores_gemma":[0.00003286748,0.00009427542,0.005835235,0.0007421548,0.00002346249,0.0002050425,0.007971033,0.0006096555,0.00017625,0.7118198,0.2724144,0.00007588077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02004039,0.145604,0.01402694,0.7335086,0.005460017,0.00003981366,0.0001112068,0.0001858964,0.08102312],"genre_scores_gemma":[0.732393,0.08392208,0.01111773,0.1376801,0.01150321,0.0001723516,0.00009889449,0.0002531865,0.02285943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01324645,"threshold_uncertainty_score":0.07005483,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009277668","doi":"10.1518/155534307x264898","title":"Development and Evaluation of an Intuitive Operational Planning Process","year":2007,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Process (computing); Operational planning; Process management; Computer science; Military doctrine; Operations research; Key (lock); Set (abstract data type); Action (physics); Comprehensive planning; Land-use planning; Doctrine; Operations management; Management science; Engineering; Computer security; Land use; Business; Political science","authors":[{"name":"David Bryant","is_ca":true},{"name":"Lora Bruyn Martin","is_ca":false},{"name":"F Bandali","is_ca":false},{"name":"Lisa Rehak","is_ca":false},{"name":"Robert Vokac","is_ca":false},{"name":"Tab Lamoureux","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05984600777436973,"gpt":0.4481580114559222,"spread":0.3883120036815524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02469174,0.0007461584,0.0003689588,0.001381773,0.000893047,0.002717557,0.001644118,0.0008609031,0.002187556],"category_scores_gemma":[0.1021741,0.0003868762,0.0003899803,0.0008069147,0.00219471,0.002414196,0.00271987,0.00125557,0.0002237024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002492732,"about_ca_system_score_gemma":0.006487535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213103,"about_ca_topic_score_gemma":0.003546336,"domain_scores_codex":[0.9796773,0.01281391,0.00103631,0.0008373131,0.00517751,0.0004576045],"domain_scores_gemma":[0.9302307,0.04924003,0.003040152,0.004593378,0.0116845,0.001211376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001710388,0.005245301,0.01894949,0.001444601,0.00008418641,0.0005595393,0.03435833,0.05190763,0.02503067,0.05091709,0.003816806,0.8059761],"study_design_scores_gemma":[0.00471099,0.02877622,0.08018629,0.002210899,0.0005939383,0.001592619,0.0478341,0.5254212,0.113126,0.07150182,0.1228799,0.001166162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6108813,0.0001272465,0.3578989,0.0006415049,0.0000940447,0.008459847,0.0002022605,0.001095847,0.02059898],"genre_scores_gemma":[0.502643,0.0001068926,0.4926666,0.0001039703,0.000009119921,0.002856547,0.0002290086,0.00006817916,0.001316695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02469174,"threshold_uncertainty_score":0.130584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2319833901","doi":"10.1177/1555343414555159","title":"Finding Common Ground","year":2014,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Common ground; Construct (python library); Computer science; Interpretation (philosophy); Process (computing); Cognition; Task (project management); Field (mathematics); Work (physics); Management science; Cognitive science; Engineering ethics; Psychology; Social psychology; Engineering","authors":[{"name":"Dev Minotra","is_ca":true},{"name":"Catherine M. Burns","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02823934258251807,"gpt":0.3742108125234656,"spread":0.3459714699409475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00838408,0.001332528,0.001240153,0.009372429,0.01049357,0.01684943,0.004836873,0.004613584,0.1084689],"category_scores_gemma":[0.03533882,0.0009461358,0.001954736,0.008882695,0.0106388,0.03157496,0.01916372,0.003752464,0.02224706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004484453,"about_ca_system_score_gemma":0.006320187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005962875,"about_ca_topic_score_gemma":0.006643727,"domain_scores_codex":[0.984726,0.004198573,0.001329435,0.004697799,0.003387695,0.001660499],"domain_scores_gemma":[0.9866827,0.003990384,0.00115085,0.004079318,0.00304647,0.001050353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008838093,0.00005518208,0.003802511,0.0004532357,0.00007401473,0.0009209249,0.01916002,0.000356283,0.0004505899,0.7818969,0.06992109,0.1228209],"study_design_scores_gemma":[0.00002155619,0.00003249915,0.001037098,0.0007033376,0.0000423198,0.0007052061,0.02018587,0.0008844086,0.0003595587,0.3923616,0.5836269,0.00003970488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03436816,0.005504771,0.1663472,0.03006832,0.003176706,0.0007228201,0.004019249,0.001793745,0.7539991],"genre_scores_gemma":[0.6289751,0.005426604,0.1608721,0.008127604,0.001238571,0.001216413,0.01497352,0.002512461,0.1766578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1084689,"threshold_uncertainty_score":0.3628647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391484721","doi":"10.1177/15553434241230604","title":"How Are Automation Failures Characterized in the Driving Domain? Insights From a Scoping Review","year":2024,"lang":"en","type":"review","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Automation; Domain (mathematical analysis); Computer science; Human factors and ergonomics; Engineering; Poison control; Human–computer interaction; Systems engineering; Psychology; Medicine; Medical emergency","authors":[{"name":"Dina Kanaan","is_ca":true},{"name":"Birsen Donmez","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04748859424286141,"gpt":0.4074343293494068,"spread":0.3599457351065454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01682578,0.0008867811,0.001988345,0.02617708,0.0009884476,0.004546876,0.00153179,0.001959447,0.001408357],"category_scores_gemma":[0.06196093,0.000725603,0.002381788,0.02054519,0.00178356,0.006089791,0.002032223,0.001896797,0.0004736274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003949545,"about_ca_system_score_gemma":0.01210978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0091863,"about_ca_topic_score_gemma":0.0194399,"domain_scores_codex":[0.9928101,0.002191601,0.002327704,0.0006057687,0.001806743,0.0002580507],"domain_scores_gemma":[0.922907,0.05893115,0.006199006,0.001221818,0.01024609,0.0004949832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001035024,0.00005402668,0.004717948,0.2990373,0.001186331,0.0005792562,0.007571197,0.0008745947,0.0008414338,0.01419935,0.01279293,0.6580421],"study_design_scores_gemma":[0.00001705341,0.0001229332,0.01165651,0.6553263,0.003819215,0.001352095,0.008492777,0.0003941418,0.0006703989,0.009729628,0.3083282,0.00009063109],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001886244,0.9914007,0.001274289,0.002590675,0.000238711,0.0001293476,0.0002183977,0.00001248397,0.002249272],"genre_scores_gemma":[0.02000766,0.9764526,0.001608465,0.001055474,0.00009514208,0.0002376635,0.0002507638,0.00001041464,0.0002817577],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02617708,"threshold_uncertainty_score":0.08898431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3178658338","doi":"10.1177/15553434211029530","title":"Ecological Design of an Augmentative and Alternative Communication Device Interface","year":2021,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Fondation Brain Canada","keywords":"Augmentative and alternative communication; Computer science; Human–computer interaction; Interface (matter); Augmentative; Process (computing); Domain (mathematical analysis); User interface; Workload; Workspace; Psychology; Artificial intelligence","authors":[{"name":"Kaela Shea","is_ca":true},{"name":"Olivier St-Cyr","is_ca":true},{"name":"Tom Chau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1110878445421994,"gpt":0.4709468004480844,"spread":0.359858955905885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718227,0.0007627088,0.000249316,0.0009289145,0.001098488,0.001854543,0.001240471,0.0008070605,0.004894845],"category_scores_gemma":[0.003891368,0.0005067726,0.0005609206,0.0002609059,0.001331882,0.001181095,0.002481004,0.0004415024,0.0009392474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008200246,"about_ca_system_score_gemma":0.001468331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002775493,"about_ca_topic_score_gemma":0.003786112,"domain_scores_codex":[0.9988912,0.0005818476,0.00005851515,0.0001713716,0.0002090103,0.00008813778],"domain_scores_gemma":[0.9989516,0.0004671082,0.0000706849,0.00012615,0.0002324027,0.0001519795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001554262,0.003264788,0.04441176,0.001764672,0.0002233421,0.003336861,0.05484141,0.1448516,0.3326589,0.1262984,0.00457165,0.2822223],"study_design_scores_gemma":[0.0006203369,0.005013961,0.04060721,0.0003613214,0.0004157514,0.002390975,0.0176159,0.709641,0.06037224,0.060651,0.1019955,0.0003147546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4051399,0.00009964133,0.5605237,0.0004792426,0.00007029985,0.001148869,0.0001751581,0.001704739,0.03065836],"genre_scores_gemma":[0.7258875,0.00006371935,0.2669244,0.00008636435,0.00001087099,0.000637696,0.00008987908,0.0001154892,0.006184063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004894845,"threshold_uncertainty_score":0.01637489,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408546962","doi":"10.1177/15553434251327697","title":"Designing High-Impact Experiments for Human–Autonomy / AI Teaming","year":2025,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Division of Information and Intelligent Systems","keywords":"Autonomy; Computer science; Psychology; Human–computer interaction; Engineering; Political science","authors":[{"name":"Christopher Flathmann","is_ca":false},{"name":"Nathan J. McNeese","is_ca":false},{"name":"Tom O’Neill","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02800911645837078,"gpt":0.430526081579753,"spread":0.4025169651213822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05627751,0.001170944,0.0008826013,0.001044485,0.003308054,0.003326053,0.002425492,0.002326988,0.009184942],"category_scores_gemma":[0.1405532,0.001095527,0.001098965,0.0009030828,0.004041652,0.004245327,0.003764478,0.003147738,0.001346294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925268,"about_ca_system_score_gemma":0.003819906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007413324,"about_ca_topic_score_gemma":0.001088418,"domain_scores_codex":[0.95732,0.03274638,0.002589078,0.002035425,0.00376697,0.00154212],"domain_scores_gemma":[0.8234975,0.1379332,0.01094054,0.01321757,0.0104133,0.003997813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03422135,0.1033606,0.07471352,0.01353107,0.002146565,0.001096022,0.04044326,0.05722174,0.09527619,0.174305,0.01620555,0.3874792],"study_design_scores_gemma":[0.0220689,0.1662101,0.1017719,0.003750765,0.00206859,0.0005621859,0.02056017,0.06965078,0.1193273,0.3531804,0.139911,0.0009379873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.579737,0.0006179256,0.2776049,0.003045118,0.001116781,0.09237967,0.0007820286,0.0007392985,0.04397737],"genre_scores_gemma":[0.5406812,0.0005031272,0.3411174,0.001557488,0.0002385559,0.1120869,0.00042095,0.000155668,0.003238611],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05627751,"threshold_uncertainty_score":0.2976274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318833987","doi":"10.1177/15553434231153311","title":"Cognitive and Behavioral Impacts of Two Decision-Support Modes for Judgmental Bootstrapping","year":2023,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Dalhousie University; McGill University; Thales (Canada)","funders":"Ministère de la Défense Nationale","keywords":"Mode (computer interface); Decision support system; Computer science; Workload; Shadow (psychology); Cognition; Human–computer interaction; Dwell time; Automation; Artificial intelligence; Psychology; Engineering","authors":[{"name":"Alexandre Marois","is_ca":true},{"name":"Katherine Labonté","is_ca":true},{"name":"Daniel Lafond","is_ca":true},{"name":"Heather F. Neyedli","is_ca":true},{"name":"Sébastien Tremblay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06056309050174091,"gpt":0.4371068951363076,"spread":0.3765438046345667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003804561,0.0006417968,0.0003380516,0.000470973,0.0003168541,0.001578866,0.0005542268,0.0007113066,0.002774192],"category_scores_gemma":[0.0456275,0.0004845878,0.0003285943,0.0002035381,0.0008293146,0.00161937,0.001137683,0.0009112283,0.0002738089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702733,"about_ca_system_score_gemma":0.0005479408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058723,"about_ca_topic_score_gemma":0.00115133,"domain_scores_codex":[0.9979547,0.001029501,0.0001549935,0.0002697557,0.000425665,0.0001653478],"domain_scores_gemma":[0.9544284,0.03608229,0.002352988,0.003922109,0.001085547,0.002128563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03065996,0.01374834,0.256053,0.0009383325,0.0004269828,0.001080882,0.04614118,0.01711795,0.2186234,0.004518247,0.002125671,0.4085661],"study_design_scores_gemma":[0.00287549,0.03992787,0.6129852,0.0003546368,0.0007177099,0.001226478,0.02070724,0.2280071,0.06995955,0.01442742,0.008099514,0.0007118191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996453,0.00001746678,0.002618687,0.00004281768,0.000009489047,0.00004935688,0.00001330022,0.00007562085,0.000720231],"genre_scores_gemma":[0.9933234,0.00001409216,0.006270864,0.00002906431,0.000005747852,0.00006322804,0.00002164691,0.00001625832,0.0002556032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003804561,"threshold_uncertainty_score":0.02012068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885852522","doi":"10.1177/1555343418789831","title":"Evidence-Based Medicine, Best Practices, Transductive Models, and Naturalistic Decision Making: Commentary on Paul R. Falzer, Naturalistic Decision Making and the Practice of Health Care","year":2018,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Process (computing); Health care; Evidence-based medicine; Psychology; Naturalism; Quality (philosophy); Best practice; Evidence-based practice; Task (project management); MEDLINE; Management science; Computer science; Medicine; Alternative medicine; Epistemology; Political science; Management","authors":[{"name":"R. Brian Haynes","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4087943743353505,"gpt":0.5413866205489544,"spread":0.1325922462136038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03572479,0.001716819,0.003946394,0.002879346,0.005649219,0.007120235,0.01151706,0.0419315,0.004190955],"category_scores_gemma":[0.1457034,0.001021433,0.003007976,0.003678608,0.02814399,0.01653007,0.004636629,0.06830987,0.002637655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01400891,"about_ca_system_score_gemma":0.0185509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03290973,"about_ca_topic_score_gemma":0.04230805,"domain_scores_codex":[0.9761436,0.01410634,0.0019564,0.002031477,0.004935662,0.0008265368],"domain_scores_gemma":[0.7902576,0.1899796,0.003124073,0.001460912,0.01295328,0.002224452],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007115614,0.00001555641,0.00004743816,0.001083303,0.00004040872,0.0001711327,0.001162599,0.0001392232,0.00002341614,0.03332871,0.9530968,0.01082018],"study_design_scores_gemma":[0.0001720772,0.00006171079,0.0003352374,0.01336087,0.00007685703,0.0006543357,0.00246318,0.0003664592,0.000139036,0.1212703,0.8609322,0.0001678307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00003893452,0.04464106,0.0001979037,0.9368275,0.01775317,0.000009099732,0.00002426896,0.000006291088,0.0005017724],"genre_scores_gemma":[0.002334328,0.02554282,0.0004995931,0.9409428,0.02970134,0.00009045989,0.00002209495,0.00002339486,0.0008431439],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9642752,"threshold_uncertainty_score":0.188933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403378968","doi":"10.1177/15553434241292400","title":"Stumbling Towards a Shared Apprehension of Automation Failure","year":2024,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Apprehension; Automation; Computer science; Computer security; Psychology; Engineering; Human–computer interaction; Cognitive psychology","authors":[{"name":"Greg A. Jamieson","is_ca":true},{"name":"Gyrd Skraaning","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02777989866861204,"gpt":0.3719330363808515,"spread":0.3441531377122395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04243106,0.001239003,0.000955309,0.002286279,0.01250417,0.01196644,0.005118049,0.02033493,0.003792917],"category_scores_gemma":[0.1582969,0.0007474704,0.001295523,0.001632064,0.02542865,0.01225752,0.01323559,0.03493706,0.001125492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006106484,"about_ca_system_score_gemma":0.00342146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004261232,"about_ca_topic_score_gemma":0.003312217,"domain_scores_codex":[0.9499266,0.02759322,0.003802365,0.005959255,0.009256994,0.003461574],"domain_scores_gemma":[0.7150545,0.219091,0.01582637,0.01000914,0.03465565,0.005363399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003041922,0.0001005418,0.006646288,0.0005402737,0.0001342102,0.00398119,0.5005708,0.001156066,0.004277615,0.2685688,0.189672,0.02404803],"study_design_scores_gemma":[0.00004660758,0.0002333014,0.006003436,0.001427324,0.00008109096,0.002212181,0.3894319,0.003658899,0.004069097,0.1113566,0.4809276,0.0005518777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08826853,0.002079991,0.02676856,0.8502033,0.01327162,0.0001048644,0.0001942545,0.0003575697,0.01875127],"genre_scores_gemma":[0.6763943,0.001247072,0.006692434,0.2966341,0.01009211,0.0003090608,0.0001145279,0.0004410894,0.008075261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04243106,"threshold_uncertainty_score":0.2243996,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214934859","doi":"10.1177/15553434221078215","title":"Evaluation of an Ecological Interface Design–Driven Augmentative and Alternative Communication Interface","year":2022,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Fondation Brain Canada","keywords":"Augmentative and alternative communication; Interface (matter); Workload; Computer science; Human–computer interaction; Information transfer; Usability; Brain–computer interface; Multimedia; Psychology; Telecommunications","authors":[{"name":"Kaela Shea","is_ca":true},{"name":"Olivier St-Cyr","is_ca":true},{"name":"Tom Chau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.154361633055667,"gpt":0.4962199834657256,"spread":0.3418583504100586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005257295,0.0007897335,0.0004073591,0.0006483081,0.000274634,0.0006211291,0.0007517819,0.0004291122,0.001369415],"category_scores_gemma":[0.0173694,0.0003029908,0.0004037367,0.0002644389,0.0004096907,0.0005257274,0.0009183559,0.0003235537,0.0002275249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004081404,"about_ca_system_score_gemma":0.0008712751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007124905,"about_ca_topic_score_gemma":0.0007259999,"domain_scores_codex":[0.9969707,0.001630664,0.0003234111,0.0001905791,0.0007688911,0.0001157994],"domain_scores_gemma":[0.9941374,0.003356678,0.0003329515,0.0003935592,0.001520126,0.0002593608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01292778,0.01980682,0.03364149,0.003609356,0.0002424509,0.0006304282,0.01194575,0.008652905,0.3329002,0.001648439,0.001268716,0.5727257],"study_design_scores_gemma":[0.007421472,0.2621214,0.3176738,0.0005301904,0.001045037,0.003663921,0.006221644,0.09749363,0.2676896,0.002867356,0.03275448,0.0005174341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755381,0.000164444,0.02088727,0.00005420415,0.00003524935,0.001929476,0.00008252795,0.000145813,0.001163069],"genre_scores_gemma":[0.8749536,0.0002896734,0.1189047,0.0001151301,0.00003475922,0.003547299,0.0002588323,0.00004776897,0.001848288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005257295,"threshold_uncertainty_score":0.02780354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415395963","doi":"10.1177/15553434251390009","title":"Situation Awareness in Fast Rescue Crafts Operators—A Simulator Study","year":2025,"lang":"en","type":"article","venue":"Journal of Cognitive Engineering and Decision Making","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Situation awareness; Task (project management); Underpinning; Human factors and ergonomics; Psychological intervention; Poison control; Guard (computer science); Confidence interval; Situational ethics","authors":[{"name":"John F. MacDonald","is_ca":false},{"name":"Elizabeth Sanli","is_ca":false},{"name":"Jennifer Smith","is_ca":true},{"name":"Michael J. Taber","is_ca":false},{"name":"Gal Ziv","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02245843575836776,"gpt":0.3978891858409092,"spread":0.3754307500825414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009269539,0.000329212,0.0002016099,0.0003882556,0.0003942087,0.000652444,0.0002656084,0.0004154065,0.001151071],"category_scores_gemma":[0.005157616,0.000202585,0.0002275878,0.0001057514,0.0005320561,0.000424723,0.000480907,0.0005954607,0.0001643794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003480056,"about_ca_system_score_gemma":0.0005232802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076881,"about_ca_topic_score_gemma":0.007845972,"domain_scores_codex":[0.9996182,0.0001358808,0.00002169132,0.00006054472,0.00008431687,0.00007936308],"domain_scores_gemma":[0.9970251,0.001084977,0.000449273,0.0002016248,0.0004564519,0.0007826212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001188194,0.006286311,0.8709355,0.0001295252,0.0001157293,0.0007175024,0.06180158,0.00224094,0.02536214,0.000207409,0.0005606539,0.0304545],"study_design_scores_gemma":[0.000112643,0.01310568,0.9427399,0.00004222091,0.00005183088,0.00114862,0.0304826,0.005107479,0.003896605,0.0004352556,0.002757938,0.0001192239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998171,0.00000537517,0.00007620458,0.0000051116,7.946376e-7,0.000005386696,0.000006601479,8.546921e-7,0.00008258285],"genre_scores_gemma":[0.9995385,0.00001809534,0.0002127593,0.00001896113,0.000002379151,0.00001248997,0.00003038951,9.108688e-7,0.0001654672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005076881,"threshold_uncertainty_score":0.01009464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}