{"meta":{"query_hash":"b12dfc5ed15b","filters":{"venue":"Academy of Information and Management Sciences journal"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/b12dfc5ed15b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Academy+of+Information+and+Management+Sciences+journal"},"results":[{"id":"W1506329604","doi":"","title":"A Survey of Information Systems Development Project Performance","year":2011,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Public sector; Business; Information technology; Economics; Operations management; Finance; Computer science; Economy","score_opus":0.04878743486735171,"score_gpt":0.24922739423448184,"score_spread":0.20043995936713013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506329604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.910737,0.0049449624,0.0010151146,0.004288337,0.0000888783,0.00026601914,0.015906794,0.00021718848,0.062535696],"genre_scores_gemma":[0.9548918,0.009720542,0.0020671599,0.0011252178,0.00013272703,0.0004057115,0.014171057,0.000118218726,0.017367553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9906686,0.0017138671,0.001557321,0.00064875477,0.0045428094,0.00086864864],"domain_scores_gemma":[0.95191824,0.007971159,0.014727378,0.0012406423,0.018575503,0.005567139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071063605,0.0003529359,0.00035315938,0.00917321,0.0008277099,0.0020820978,0.0006701237,0.0005041384,0.008972793],"category_scores_gemma":[0.026898623,0.0003443911,0.00035913766,0.010815546,0.00057868025,0.0029377954,0.0020177758,0.00087704114,0.0036991267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015095444,0.00023691755,0.799521,0.00058993604,0.00006106718,0.00018392304,0.0049832403,0.0002297096,0.00054212706,0.0010569383,0.04985783,0.14258644],"study_design_scores_gemma":[0.0000062294966,0.00024407372,0.94563466,0.00019491551,0.000008254088,0.0003888443,0.0046049906,0.00020102072,0.00019078929,0.00011540513,0.04838656,0.000024318255],"about_ca_topic_score_codex":0.003455457,"about_ca_topic_score_gemma":0.002893897,"teacher_disagreement_score":0.00917321,"about_ca_system_score_codex":0.0014066537,"about_ca_system_score_gemma":0.0015719899,"threshold_uncertainty_score":0.037582517},"labels":[],"label_agreement":null},{"id":"W1510479436","doi":"","title":"Developing a Prototype for Determining Alternative Sources of Natural Gas Supply","year":2011,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Natural gas; Supply chain; Liquefied natural gas; Supply and demand; Pipeline transport; Liquefied petroleum gas; Order (exchange); Distribution (mathematics); Environmental science; Natural resource economics; Business; Economics; International trade; Environmental economics; Engineering; Finance; Waste management; Environmental engineering","score_opus":0.04588108754809226,"score_gpt":0.30193547346683863,"score_spread":0.25605438591874635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510479436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05821818,0.00011020545,0.8779763,0.00027485166,0.000100882266,0.0014425307,0.002734367,0.04930776,0.009834962],"genre_scores_gemma":[0.20459516,0.00011501625,0.7854844,0.00011520627,0.0000190622,0.00095363054,0.0026539285,0.000901924,0.005161661],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987048,0.00017603363,0.00013146467,0.00044623428,0.0004380238,0.00010351187],"domain_scores_gemma":[0.99799526,0.0010053903,0.00012830076,0.00025966304,0.0005112194,0.00010022738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016313695,0.0012127033,0.0010625578,0.0014089114,0.0006379404,0.002602283,0.0037488684,0.0018373433,0.017432926],"category_scores_gemma":[0.0049729245,0.000857915,0.0012600656,0.0012263067,0.0004843329,0.0024741504,0.0014750705,0.00079667225,0.0039013268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020870648,0.0017440865,0.016959295,0.0020766037,0.00040176083,0.0026229247,0.0017737409,0.22190204,0.06689291,0.015697714,0.025354184,0.6424877],"study_design_scores_gemma":[0.0003383278,0.0005875167,0.0021799435,0.00013558309,0.0001339276,0.00055193825,0.0006103151,0.92244756,0.037543077,0.0071764477,0.028199863,0.00009550094],"about_ca_topic_score_codex":0.0046399385,"about_ca_topic_score_gemma":0.0025229466,"teacher_disagreement_score":0.017432926,"about_ca_system_score_codex":0.0008400481,"about_ca_system_score_gemma":0.0013176686,"threshold_uncertainty_score":0.058318973},"labels":[],"label_agreement":null},{"id":"W1563224746","doi":"","title":"A Comparison of the Influencing Factors of Using a Mobile Phone: Atlantic Canada vs. Cameroon Africa","year":2014,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mobile phone; Phone; Quarter (Canadian coin); Business; Population; Marketing; Advertising; Telecommunications; Engineering; Geography","score_opus":0.09928959237076218,"score_gpt":0.39050371724431526,"score_spread":0.2912141248735531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563224746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935916,0.0005117666,0.00006227599,0.00049020053,0.000019639527,0.000040461044,0.0003028152,0.0000019726729,0.0049791844],"genre_scores_gemma":[0.9975337,0.00059035147,0.00014059765,0.00008510057,0.000004801284,0.000021302489,0.00015738458,0.0000022003942,0.0014646057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946076,0.000069154725,0.00002382341,0.00004576108,0.000085125546,0.00031544868],"domain_scores_gemma":[0.99898905,0.00021080894,0.00019376194,0.000014950653,0.0003248184,0.00026658052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047802838,0.00043678735,0.000249763,0.0019279593,0.0028416205,0.0015498579,0.00045615845,0.00033943218,0.0051875273],"category_scores_gemma":[0.0013686559,0.00018080574,0.00038086268,0.0033073667,0.0011182225,0.0005596421,0.00085039594,0.0006145589,0.00022780143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011458452,0.00008161629,0.95482117,0.00016376872,0.00003426061,0.0014702334,0.022791082,0.000103581006,0.00080506917,0.0014679707,0.0014244405,0.016722158],"study_design_scores_gemma":[0.0000073650644,0.000051448096,0.8313307,0.0003041429,0.000051935793,0.00038214025,0.16176774,0.00030550658,0.00027124313,0.00009480123,0.005405843,0.00002718962],"about_ca_topic_score_codex":0.8572091,"about_ca_topic_score_gemma":0.90511817,"teacher_disagreement_score":0.14279091,"about_ca_system_score_codex":0.006842494,"about_ca_system_score_gemma":0.009721141,"threshold_uncertainty_score":0.28726363},"labels":[],"label_agreement":null},{"id":"W1569192466","doi":"","title":"Production & Operations Quality Concepts: Deficient Diffusion into the Service Sector","year":2004,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tertiary sector of the economy; Service (business); Economics; Dominance (genetics); Business; Production (economics); Industrial organization; Marketing; Operations management; Microeconomics","score_opus":0.03579159601253777,"score_gpt":0.3062811351810651,"score_spread":0.2704895391685273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569192466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88927805,0.0075204475,0.011057036,0.033838212,0.00026964935,0.00014898852,0.0007117103,0.00008930232,0.05708661],"genre_scores_gemma":[0.99432003,0.0017481548,0.0017804696,0.0010475673,0.000050474566,0.000025636826,0.00009465687,0.000012945213,0.0009199095],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9906087,0.0030120383,0.0009190575,0.0007652778,0.004194705,0.0005003047],"domain_scores_gemma":[0.90402275,0.050055858,0.014923446,0.0040063118,0.024587912,0.002403679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015112655,0.00015379378,0.0003876991,0.0035953375,0.001084028,0.005275618,0.00076191657,0.0006642146,0.0042748563],"category_scores_gemma":[0.052391842,0.00022975302,0.00035038628,0.005887336,0.0029978799,0.0047277072,0.0028780347,0.0019771277,0.0004083198],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114861796,0.00018844509,0.39194047,0.0011325208,0.000043667733,0.00027999544,0.05866918,0.0005984639,0.0017146369,0.053032957,0.007906753,0.4843781],"study_design_scores_gemma":[0.000016376534,0.00033097746,0.7401973,0.002468542,0.000054419157,0.0006876661,0.12484116,0.0028565354,0.002004894,0.02817268,0.09829801,0.00007139537],"about_ca_topic_score_codex":0.01508352,"about_ca_topic_score_gemma":0.009578393,"teacher_disagreement_score":0.015112655,"about_ca_system_score_codex":0.003750568,"about_ca_system_score_gemma":0.0091584,"threshold_uncertainty_score":0.079924285},"labels":[],"label_agreement":null},{"id":"W1577553539","doi":"","title":"Testing a Moderator-Type Research Model on the Use of High Speed Internet","year":2012,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Media, Religion, Digital Communication","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"The Internet; Government (linguistics); Population; Entertainment; Business; Marketing; Public relations; Internet privacy; Sociology; Computer science; World Wide Web; Political science","score_opus":0.4115966899925943,"score_gpt":0.3614552941126012,"score_spread":0.05014139587999311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1577553539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9215311,0.0010093118,0.04188933,0.004621255,0.0012185009,0.00844264,0.0027178333,0.00029802808,0.018271944],"genre_scores_gemma":[0.9143858,0.00055333367,0.048583735,0.0012020948,0.00035485346,0.028224472,0.0011557821,0.00014578545,0.005394222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9301745,0.057882626,0.0018029966,0.005331074,0.0029802376,0.0018284456],"domain_scores_gemma":[0.5780159,0.39572248,0.009858559,0.006727516,0.0076152235,0.0020603107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.068068124,0.002495893,0.0023480083,0.0023814156,0.0032644116,0.0040290225,0.0068842275,0.0044155726,0.049455274],"category_scores_gemma":[0.115826115,0.0013736921,0.0046313554,0.0025391525,0.0038514081,0.0067871152,0.004157316,0.004012406,0.0030455757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016867958,0.0125429,0.5995275,0.009362958,0.008761883,0.0025408233,0.059601486,0.012163278,0.0038882215,0.17488533,0.014210003,0.085647605],"study_design_scores_gemma":[0.012819396,0.042915694,0.36127123,0.008353614,0.011900352,0.0018511422,0.07612885,0.28625932,0.009331392,0.13665967,0.05147002,0.0010393532],"about_ca_topic_score_codex":0.0043783314,"about_ca_topic_score_gemma":0.0017420074,"teacher_disagreement_score":0.068068124,"about_ca_system_score_codex":0.003739026,"about_ca_system_score_gemma":0.00567072,"threshold_uncertainty_score":0.35998297},"labels":[],"label_agreement":null},{"id":"W1587475819","doi":"","title":"Market and Bureaucracy Costs: The Moderating Effect of Information Technology","year":2014,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Mathematical economics; Economics; Operations research; Marketing; Management; Microeconomics; Business; Mathematics","score_opus":0.01869193016388066,"score_gpt":0.33844748503421834,"score_spread":0.3197555548703377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1587475819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663738,0.0041390792,0.0021884528,0.0048654643,0.00021299376,0.0002639205,0.0017131015,0.0000874424,0.02015575],"genre_scores_gemma":[0.99191076,0.00086067186,0.0011952271,0.00040496181,0.00016885973,0.00019032905,0.0005171288,0.000055201028,0.0046969117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99502206,0.0023826056,0.00029478825,0.0007472406,0.00085699145,0.00069636607],"domain_scores_gemma":[0.8626124,0.10448286,0.01998153,0.002956657,0.0028024786,0.007164161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049046655,0.0006995735,0.0009760653,0.0016757287,0.0015997491,0.004426119,0.0012614604,0.0021243042,0.045672078],"category_scores_gemma":[0.040623896,0.0004121592,0.001046438,0.002329454,0.001517919,0.0026298447,0.0023809592,0.0027733345,0.0016708298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018768889,0.0021312425,0.9374843,0.0007312998,0.0011978884,0.00055316766,0.003555453,0.00219717,0.0007175212,0.01232181,0.00587366,0.031359598],"study_design_scores_gemma":[0.00025375947,0.00069247367,0.9676961,0.00064033695,0.00083448965,0.00019635828,0.0040023373,0.0047003143,0.00041516733,0.009245811,0.011240675,0.000082164726],"about_ca_topic_score_codex":0.012549884,"about_ca_topic_score_gemma":0.006905146,"teacher_disagreement_score":0.045672078,"about_ca_system_score_codex":0.0017173045,"about_ca_system_score_gemma":0.0036588,"threshold_uncertainty_score":0.15278834},"labels":[],"label_agreement":null},{"id":"W2992696266","doi":"","title":"Testing Utaut on the Use of Erp Systems by Middle Managers and End-Users of Medium- to Large-Sized Canadian Enterprises","year":2012,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Enterprise resource planning; Technology acceptance model; Knowledge management; Structural equation modeling; Unified theory of acceptance and use of technology; Information technology; Computer science; Process (computing); Information system; Marketing; Business; Social influence; Usability; Psychology; Engineering","score_opus":0.15834074468552164,"score_gpt":0.34271641108404804,"score_spread":0.1843756663985264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992696266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998069,0.000029080464,0.00009339711,0.000056310437,0.000003551426,0.00006685449,0.00011147829,0.0000051134875,0.001565169],"genre_scores_gemma":[0.9986817,0.000036541347,0.0003246729,0.000032715772,0.0000014524176,0.00007876366,0.00011340539,0.000002326457,0.0007283194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99652714,0.00048742167,0.00021921471,0.00032528728,0.0014915956,0.0009494061],"domain_scores_gemma":[0.97946143,0.00441851,0.00253464,0.00067461695,0.010065241,0.0028455902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004452548,0.00051617535,0.00041011034,0.0020027214,0.0035340018,0.0022080115,0.0009881693,0.00048128396,0.0019456262],"category_scores_gemma":[0.012429929,0.00031606606,0.0005674625,0.0019305099,0.0018115435,0.00068295345,0.0015085168,0.0006625408,0.00029451482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019428837,0.00027849188,0.93042254,0.00007942235,0.000027945138,0.00015856569,0.048604496,0.00016802923,0.0013689803,0.0004252488,0.0007474774,0.01752452],"study_design_scores_gemma":[0.0000060602656,0.00010202853,0.9658514,0.000032689986,0.000010768023,0.000019791603,0.031976137,0.00058943103,0.00030270065,0.000036460107,0.0010497016,0.000022843564],"about_ca_topic_score_codex":0.86949664,"about_ca_topic_score_gemma":0.89860266,"teacher_disagreement_score":0.13050336,"about_ca_system_score_codex":0.015751202,"about_ca_system_score_gemma":0.01986786,"threshold_uncertainty_score":0.2625438},"labels":[],"label_agreement":null},{"id":"W2993918020","doi":"","title":"The Effect of Emergency Waiting Time on Patient Satisfaction","year":2015,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overcrowding; Health care; Emergency department; Medical emergency; Medicine; Nursing; Political science; Law","score_opus":0.04446773260331995,"score_gpt":0.29348013772786424,"score_spread":0.24901240512454428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993918020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841411,0.0026189142,0.00036761633,0.0039382577,0.00024719743,0.00006412348,0.0021832695,0.000043311637,0.0063962494],"genre_scores_gemma":[0.9971144,0.00045624556,0.00024715698,0.00050821993,0.00008842793,0.000053019754,0.00047708955,0.000006980141,0.0010483561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964371,0.0016692852,0.0003232331,0.000285926,0.00071389164,0.0005706209],"domain_scores_gemma":[0.97919434,0.010740778,0.004892137,0.00039065813,0.0018643728,0.0029177174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003718757,0.00026588378,0.00047228977,0.00054959964,0.0006388525,0.0012818016,0.00052103575,0.00058617565,0.020784032],"category_scores_gemma":[0.017186226,0.00015833443,0.002006709,0.0009052309,0.00043451058,0.0006907333,0.00084211014,0.0018669883,0.0009809199],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002783455,0.0014498405,0.93305993,0.00042112268,0.0005916096,0.000110115696,0.00058298383,0.00036978108,0.0001603337,0.00033867438,0.006088145,0.054044057],"study_design_scores_gemma":[0.00013334461,0.0021599913,0.99244165,0.00016910082,0.000315987,0.00012996545,0.00096556614,0.00089335965,0.00018363672,0.0002447958,0.0023322243,0.00003051492],"about_ca_topic_score_codex":0.0048709917,"about_ca_topic_score_gemma":0.0040993374,"teacher_disagreement_score":0.020784032,"about_ca_system_score_codex":0.0011764971,"about_ca_system_score_gemma":0.0015555514,"threshold_uncertainty_score":0.069529474},"labels":[],"label_agreement":null},{"id":"W3207937981","doi":"","title":"Theoretical Exergy and Second Law Analysis of Vapour Compression Refrigeration System with Refrigerants of Low and High Global Warming Potential","year":2021,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Zeotropic mixture; Chlorofluorocarbon; Exergy; Refrigeration; Thermodynamics; Context (archaeology); Gas compressor; Exergy efficiency; Process engineering; Refrigerator car; Environmental science; Chemistry; Engineering","score_opus":0.004671645203139561,"score_gpt":0.219614320539134,"score_spread":0.21494267533599443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207937981","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31386214,0.021352679,0.38193002,0.0030946492,0.0006438731,0.0003741306,0.0015251221,0.00037478216,0.2768426],"genre_scores_gemma":[0.95077866,0.0034025444,0.007832819,0.0002078631,0.00010342653,0.00023817466,0.00030405246,0.00010230155,0.037030116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99984396,0.000021909344,0.000006791717,0.000024569708,0.00006695895,0.000035733956],"domain_scores_gemma":[0.9998497,0.00007428741,0.00001323433,0.000008956128,0.000045788405,0.0000080655955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003115557,0.0006195257,0.0005769952,0.0013324281,0.00051451084,0.0007542155,0.0008659645,0.00084924605,0.006687084],"category_scores_gemma":[0.00059855724,0.00034298972,0.0015481587,0.0005223179,0.00089658605,0.001071152,0.0005296218,0.0007516859,0.00080473704],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011080026,0.00014235463,0.0036443255,0.0010203127,0.00008431604,0.001200894,0.0005932128,0.5867937,0.03325507,0.34209734,0.004221714,0.026835987],"study_design_scores_gemma":[0.000010932855,0.00006161581,0.0017257713,0.000056105684,0.000023576711,0.00030486638,0.00009112168,0.9517142,0.00363154,0.037018865,0.0053287693,0.0000325793],"about_ca_topic_score_codex":0.005606529,"about_ca_topic_score_gemma":0.0025597566,"teacher_disagreement_score":0.006687084,"about_ca_system_score_codex":0.001287539,"about_ca_system_score_gemma":0.0005787522,"threshold_uncertainty_score":0.022370517},"labels":[],"label_agreement":null},{"id":"W3208433877","doi":"","title":"The Impact of Corona Pandemic on SMEs: Experience from Jordan","year":2021,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Small business; Payment; Small and medium-sized enterprises; Sample (material); Work (physics); Coronavirus disease 2019 (COVID-19); Finance; Commerce; Marketing","score_opus":0.05809590005481951,"score_gpt":0.32174810706045553,"score_spread":0.263652207005636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208433877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951212,0.00035988342,0.000040440947,0.0013524619,0.000011800838,0.000012302966,0.00003220005,0.0000035097976,0.0030662643],"genre_scores_gemma":[0.995436,0.001121431,0.00007089311,0.0007673441,0.000027559128,0.000010997426,0.000040923805,0.0000047040767,0.0025202692],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9994629,0.00024172505,0.000025555162,0.000027698707,0.00006252378,0.00017962437],"domain_scores_gemma":[0.9981152,0.00032864735,0.00030931266,0.000044115295,0.0003702291,0.0008324239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013399113,0.00028206847,0.00023485218,0.00038554906,0.0026357623,0.0016711163,0.00046072027,0.0009975885,0.0028433923],"category_scores_gemma":[0.0023255665,0.00011894507,0.00019061967,0.0006737101,0.0011735756,0.0011760012,0.0026291984,0.0007695719,0.00047107626],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058067235,0.0012177608,0.38666692,0.00087199465,0.00005627111,0.03370703,0.49950346,0.0006692232,0.0025935825,0.0024686716,0.013757632,0.057906866],"study_design_scores_gemma":[0.000025470854,0.00066203956,0.08715231,0.0002554974,0.000016243213,0.0038197197,0.87054235,0.00025445106,0.0005539329,0.00033576557,0.03635138,0.000030788975],"about_ca_topic_score_codex":0.006825132,"about_ca_topic_score_gemma":0.018442104,"teacher_disagreement_score":0.006825132,"about_ca_system_score_codex":0.0010486945,"about_ca_system_score_gemma":0.0018022595,"threshold_uncertainty_score":0.0135707855},"labels":[],"label_agreement":null},{"id":"W321709472","doi":"","title":"Classifying the Stability Scores of the Big-Three American Automotive Companies Using DEA Window Analysis","year":2004,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Automotive industry; Nonparametric statistics; Econometrics; Computer science; Economics; Stability (learning theory); Operations research; Corporation; Efficiency; Industrial organization; Mathematics; Statistics; Engineering; Finance","score_opus":0.12089860450574491,"score_gpt":0.3767280500116703,"score_spread":0.2558294455059254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W321709472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713635,0.00008489534,0.0015476347,0.000019765497,0.0000028406062,0.000011371129,0.00032237472,0.0000092522305,0.00086544995],"genre_scores_gemma":[0.9984389,0.000033748136,0.00067069795,0.0000020821853,0.0000034326747,0.000007135033,0.00064090855,0.0000020549187,0.00020099487],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992632,0.00014987531,0.00009528626,0.00010781789,0.00027485436,0.00010901466],"domain_scores_gemma":[0.9939891,0.0020418158,0.0016306314,0.00034121008,0.0017592623,0.00023805973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021306623,0.00025874027,0.00028639607,0.004032999,0.00028496588,0.0011170572,0.00026040286,0.00019353676,0.001121436],"category_scores_gemma":[0.005583837,0.00010788483,0.0005079623,0.0030878035,0.00022674524,0.0007366005,0.00060819706,0.00025636645,0.00021175652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023922618,0.00005057311,0.95531875,0.000032157448,0.00014528257,0.00008545097,0.0004572788,0.0062898155,0.002067323,0.00080813526,0.00041765874,0.034088477],"study_design_scores_gemma":[0.0000029073544,0.00008226482,0.9816775,0.000008309719,0.000031130516,0.000031421685,0.0006752563,0.015232599,0.0013163218,0.0003843814,0.0005439683,0.0000140183265],"about_ca_topic_score_codex":0.005834374,"about_ca_topic_score_gemma":0.0058146617,"teacher_disagreement_score":0.005834374,"about_ca_system_score_codex":0.00066701474,"about_ca_system_score_gemma":0.00030135526,"threshold_uncertainty_score":0.011600792},"labels":[],"label_agreement":null}]}