{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":18,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":18,"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"},"query_hash":"bf6d32497a85","filters":{"venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics"}},"results":[{"id":"W190427941","doi":"10.20965/jaciii.2006.p0578","title":"Opposition-Based Reinforcement Learning","year":2006,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":207,"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":"Reinforcement learning; Computer science; Expediting; Artificial intelligence; A priori and a posteriori; Probabilistic logic; Grid; Machine learning; Opposition (politics); Convergence (economics); Learning classifier system; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01614136464924268,"gpt":0.2628008458279594,"spread":0.2466594811787167,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498489,0.0002306714,0.0002937219,0.0004271247,0.0002118487,0.0002999356,0.0006300904,0.00007062213,0.00002680802],"category_scores_gemma":[0.0001218115,0.0002071642,0.0001410916,0.0004091804,0.00009627332,0.001508154,0.0001231656,0.0004298322,0.00003695668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333639,"about_ca_system_score_gemma":0.0001893375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003933322,"about_ca_topic_score_gemma":3.057756e-7,"domain_scores_codex":[0.9970205,0.00004714569,0.001684827,0.0001173148,0.0008316338,0.0002985694],"domain_scores_gemma":[0.9971184,0.0004653713,0.001237984,0.0001822251,0.0008631263,0.0001329653],"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":[0.0000166519,0.00003243827,0.0001371404,0.00004180925,0.00002345207,0.000006417903,0.0004112443,0.9284414,0.00002472308,0.05218075,0.0001128595,0.01857112],"study_design_scores_gemma":[0.0001901074,0.0006821066,0.0000877072,0.0001478156,0.00001389779,0.00009786877,0.000423391,0.9779323,0.003763405,0.01207858,0.004354897,0.0002279639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002484691,0.0001775767,0.9947917,0.0002583821,0.0003203919,0.0001457123,3.951245e-7,0.00005071062,0.00177046],"genre_scores_gemma":[0.712014,0.000119827,0.2872182,0.0004158129,0.00006795237,0.000002784506,0.0000132802,0.000009202067,0.0001388741],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7095293,"threshold_uncertainty_score":0.8447911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999081193","doi":"10.20965/jaciii.2020.p0026","title":"A Hybrid Fuzzy System Dynamics Approach for Risk Analysis of AUV Operations","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":5,"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":"Australian Government","keywords":"Computer science; Risk analysis (engineering); Fuzzy logic; Domain (mathematical analysis); System dynamics; Risk management; Fuzzy set; Operational risk; Operations research; Artificial intelligence; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01724143583814572,"gpt":0.2516636543421537,"spread":0.2344222185040079,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002814989,0.000149948,0.0004408855,0.0002928853,0.00007502284,0.00004714739,0.0001872784,0.00004645917,0.00001141922],"category_scores_gemma":[0.0001175207,0.0001369943,0.0002262475,0.0004922513,0.00004838219,0.0004003367,0.00002358761,0.0002084345,0.000002020644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000904132,"about_ca_system_score_gemma":0.0000469535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001731713,"about_ca_topic_score_gemma":9.42262e-7,"domain_scores_codex":[0.9980452,0.00002022601,0.001451027,0.00006631291,0.0002889497,0.0001283061],"domain_scores_gemma":[0.998496,0.0002305349,0.0003726417,0.00007842689,0.0006761755,0.0001462078],"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":[0.00003885973,0.00002286186,0.00007416181,0.0003013338,0.0005573939,4.262191e-7,0.001441155,0.9564745,0.000005221149,0.01404065,0.00004465578,0.02699879],"study_design_scores_gemma":[0.0001181274,0.0001764654,0.00004965346,0.0000413977,0.0003411151,0.00001726829,0.004442973,0.9930321,0.0006855283,0.000715392,0.0002498452,0.0001301131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0208491,0.0001998874,0.9776604,0.00003828951,0.00009687804,0.0002102859,0.0002058407,0.00002992387,0.0007094535],"genre_scores_gemma":[0.7838133,0.0003947762,0.2155094,0.00007978127,0.00003602666,0.000005339215,0.0001463531,0.000009999498,0.000005020865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7629642,"threshold_uncertainty_score":0.5586465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W20223991","doi":"10.20965/jaciii.2006.p0744","title":"Minimization of XML Tree Pattern Queries in the Presence of Integrity Constraints","year":2006,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"","keywords":"Computer science; Minification; XML; XPath; Tree (set theory); Complement (music); Query optimization; Algorithm; Key (lock); Spatial query; Time complexity; Theoretical computer science; Data mining; Sargable; Mathematics; Web search query; XML database; Information retrieval; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02396197672208518,"gpt":0.2794426607393554,"spread":0.2554806840172702,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006619576,0.0001556831,0.0003530953,0.0002638313,0.00004895262,0.00003599359,0.0005322871,0.00005183422,0.000006833187],"category_scores_gemma":[0.0002200497,0.000108716,0.00008834439,0.000440955,0.0003493676,0.001507215,0.00009716643,0.0002519277,0.000001183524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887318,"about_ca_system_score_gemma":0.0001361994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000320905,"about_ca_topic_score_gemma":0.00002171526,"domain_scores_codex":[0.9972591,0.0000856956,0.001851536,0.00009112542,0.0005543231,0.0001582648],"domain_scores_gemma":[0.9968745,0.0007628789,0.001398415,0.0002059411,0.0007196945,0.00003853524],"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":[0.00004114895,0.0001747192,0.001791076,0.000219986,0.00002370264,0.000006896345,0.007570762,0.4725348,0.0000554144,0.2760479,0.00008520106,0.2414484],"study_design_scores_gemma":[0.0009263115,0.001855688,0.01317935,0.002409512,0.00004712293,0.0009375649,0.04670551,0.7088876,0.04164407,0.1772521,0.005359013,0.0007961385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0425921,0.0003616426,0.9562355,0.0001398167,0.0001679681,0.0001657981,0.00001838759,0.000005617833,0.0003131489],"genre_scores_gemma":[0.808073,0.000280517,0.1915242,0.0000758518,0.0000251668,0.000002841994,0.000008899196,0.000003482219,0.00000595451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7654809,"threshold_uncertainty_score":0.4433309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W57713726","doi":"10.20965/jaciii.2009.p0115","title":"Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples","year":2009,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"","keywords":"Computer science; Artificial intelligence; Ground truth; Image processing; Sample (material); Object (grammar); Parameterized complexity; Image (mathematics); Computer vision; Digital image processing; Pattern recognition (psychology); Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.02182776305152547,"gpt":0.3156307259324421,"spread":0.2938029628809167,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003691348,0.0001660486,0.0002987769,0.0002988972,0.00008011796,0.0001809523,0.0003245667,0.00005567953,0.00003050076],"category_scores_gemma":[0.0003016157,0.0001434986,0.00006873076,0.0002339028,0.0001058396,0.00275104,0.00006797425,0.0001927998,0.000002719365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005474073,"about_ca_system_score_gemma":0.00009229806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004847427,"about_ca_topic_score_gemma":4.002035e-7,"domain_scores_codex":[0.9978526,0.00003998409,0.00131604,0.0001146763,0.000527335,0.0001493624],"domain_scores_gemma":[0.9976249,0.0005673705,0.001057131,0.0001288052,0.0004983671,0.0001234735],"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":[0.00003839509,0.0001213961,0.00003595945,0.000164636,0.00004970565,0.000006763732,0.005329105,0.01466291,0.004512852,0.007875795,0.00006523779,0.9671372],"study_design_scores_gemma":[0.0002929802,0.001478574,0.005349983,0.001028837,0.00004471685,0.0004318591,0.004239248,0.4736912,0.229361,0.2836661,0.00004878586,0.0003667468],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09392165,0.0003432632,0.9052392,0.0001311956,0.0001301989,0.0001332267,0.000004912284,0.00003942569,0.00005687798],"genre_scores_gemma":[0.4647084,0.0006703457,0.5343435,0.0002380863,0.0000269988,0.000001398924,0.00000654412,0.000003082877,0.000001657837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9667705,"threshold_uncertainty_score":0.5851705,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220796196","doi":"10.20965/jaciii.2022.p0125","title":"Synthesis and Prototyping of a 6-dof Parallel Robot for the Automatic Performance of Assembly Tasks","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Computer science; Robot; Workspace; Robot control; Robot calibration; Jacobian matrix and determinant; Robot kinematics; Controller (irrigation); Kinematics; Robot end effector; Cartesian coordinate robot; Control engineering; Artificial intelligence; Simulation; Mobile robot; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02031556607500955,"gpt":0.2520129562166124,"spread":0.2316973901416028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005194874,0.0001252141,0.0002944324,0.000148981,0.0001203904,0.00001965741,0.0002142483,0.00002734654,0.00001695457],"category_scores_gemma":[0.00009610697,0.00009552561,0.00008308433,0.0001592069,0.00006370886,0.0002730949,0.00006136184,0.000178874,2.768333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000392688,"about_ca_system_score_gemma":0.00005209937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.195609e-7,"about_ca_topic_score_gemma":2.453699e-7,"domain_scores_codex":[0.9983842,0.00001615593,0.001107609,0.00004528859,0.0003151834,0.0001315255],"domain_scores_gemma":[0.9982307,0.0008396061,0.0005505485,0.00008994305,0.0002422093,0.00004699731],"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":[0.00004561295,0.00002380229,0.00002291568,0.0004762839,0.00007823434,2.275257e-7,0.00120917,0.8618286,0.0000355084,0.005373146,0.000009493065,0.130897],"study_design_scores_gemma":[0.00008835373,0.0005081141,0.0001092685,0.0001630312,0.00004594507,0.00008225572,0.003314914,0.9890675,0.001825934,0.004560455,0.0001362873,0.00009792284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0917444,0.0007673578,0.9068485,0.00003949081,0.0001501073,0.0003924991,0.00001212274,0.000008854479,0.00003662258],"genre_scores_gemma":[0.639748,0.001501831,0.3586384,0.00003444747,0.00001479789,0.00004376262,0.000002328018,0.00001134042,0.000005125302],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5482101,"threshold_uncertainty_score":0.3895421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4384824473","doi":"10.20965/jaciii.2023.p0585","title":"Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Blast furnace; Granulation; Computer science; Similarity (geometry); Data mining; Process (computing); Stability (learning theory); Process engineering; Mathematical optimization; Pattern recognition (psychology); Artificial intelligence; Mathematics; Materials science; Machine learning; Engineering; Metallurgy","retraction":null,"screen_n_in":null,"score":{"opus":0.02164806144097796,"gpt":0.292290808664983,"spread":0.2706427472240051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004441905,0.0001336762,0.0002041813,0.0003735816,0.00006453253,0.00008008646,0.0000853184,0.00006296189,0.000006716286],"category_scores_gemma":[0.0001088461,0.0001178815,0.00004426806,0.0004741085,0.00002967469,0.001704123,0.00001066301,0.0001683965,0.00001645925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009752126,"about_ca_system_score_gemma":0.00003822395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001088949,"about_ca_topic_score_gemma":0.000002050677,"domain_scores_codex":[0.9986205,0.00001465023,0.0008896226,0.00004436282,0.0002610575,0.0001698598],"domain_scores_gemma":[0.9987634,0.0002914963,0.0003236171,0.00004506373,0.0005232827,0.0000531384],"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":[0.0000848379,0.00000682874,0.00002405119,0.0002264989,0.00001670229,6.434703e-7,0.001899828,0.7932981,0.00001036164,0.002025271,0.0001134348,0.2022935],"study_design_scores_gemma":[0.000382439,0.0003489823,0.0004874333,0.0003642238,0.00002189837,0.00007835385,0.005632939,0.9647264,0.00327423,0.01539552,0.009094941,0.0001926267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04350542,0.00005249938,0.9556443,0.00008213345,0.0001815178,0.000238054,0.00005270297,0.00005423064,0.0001891495],"genre_scores_gemma":[0.9140403,0.0008931572,0.0840314,0.0000853727,0.00008972956,0.0000252583,0.0008026209,0.00001473583,0.00001737603],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8716129,"threshold_uncertainty_score":0.4807067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4327862218","doi":"10.20965/jaciii.2023.p0235","title":"Modeling and Control Strategies for Liquid Crystal Elastomer-Based Soft Robot Actuator","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"China University of Geosciences; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Actuator; Elastomer; Computer science; Materials science; Robot; Mechanical engineering; Soft robotics; Focus (optics); Artificial muscle; Deformation (meteorology); Field (mathematics); Perspective (graphical); Control engineering; Artificial intelligence; Engineering; Composite material; Optics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02248627861275708,"gpt":0.2714680933141168,"spread":0.2489818147013597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775115,0.0001954925,0.0003135741,0.0002379877,0.00009248046,0.0001029433,0.0001202348,0.00006889714,0.000006935155],"category_scores_gemma":[0.00007250762,0.0001753494,0.00007822613,0.0001479349,0.00003959164,0.0007813202,0.00002176436,0.0001486203,0.000004716889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000436057,"about_ca_system_score_gemma":0.0000863214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.318408e-7,"about_ca_topic_score_gemma":6.156326e-7,"domain_scores_codex":[0.9985368,0.000008365249,0.0009128864,0.0000713312,0.0002258509,0.0002447457],"domain_scores_gemma":[0.9989598,0.0002914212,0.0001943892,0.00006488361,0.0003622031,0.0001273381],"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":[0.0001683933,0.00001132285,3.834152e-7,0.0002396909,0.00004467841,0.000001546719,0.0006426979,0.9795326,0.001794911,0.003028151,0.00001785425,0.01451775],"study_design_scores_gemma":[0.0002753007,0.0005412729,8.295406e-7,0.0001320229,0.00002606744,0.00003094017,0.003876437,0.9637563,0.006099137,0.02436492,0.00071458,0.0001822459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1143455,0.0002888801,0.8846292,0.00003710506,0.0003937657,0.0001921989,0.00003009184,0.00006694764,0.00001635092],"genre_scores_gemma":[0.9153555,0.0008821967,0.08349771,0.0001291918,0.00007897218,0.00001230631,0.00001596198,0.00002396367,0.000004216835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8011315,"threshold_uncertainty_score":0.7150543,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2577231901","doi":"10.20965/jaciii.2005.p0003","title":"Intelligent Systems: Methodology, Models, and Applications in Emerging Technologies","year":2005,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Intelligent decision support system; Computer science; Ontology; Intelligent agent; Fuzzy logic; Intelligent control; Artificial intelligence; Agent architecture; Semantics (computer science); Data science","retraction":null,"screen_n_in":null,"score":{"opus":0.06089946913432289,"gpt":0.3168892203809028,"spread":0.2559897512465799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057267,0.0002381299,0.0004828277,0.0006116685,0.0001175391,0.0001817049,0.0007069773,0.0001203119,0.000001076103],"category_scores_gemma":[0.0001258329,0.000192201,0.00007979269,0.0004902069,0.0001440893,0.001792337,0.0002395727,0.0003888691,0.000006655573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195019,"about_ca_system_score_gemma":0.00009117068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008088452,"about_ca_topic_score_gemma":0.000003862951,"domain_scores_codex":[0.9973326,0.00008418551,0.001718925,0.0001789002,0.0003932902,0.0002921221],"domain_scores_gemma":[0.9977037,0.0007241994,0.000793191,0.0002237315,0.0004461086,0.0001090376],"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":[0.000008412089,0.00003228448,0.00004631976,0.00003963884,0.00002012845,0.000001511918,0.001675244,0.5489749,0.000003630981,0.2347087,0.00001227187,0.214477],"study_design_scores_gemma":[0.0001324492,0.0002013845,0.00002647074,0.0001559575,0.00001139795,0.000282305,0.01752867,0.7702878,0.0003135452,0.2062193,0.004620543,0.0002201875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003048124,0.009933268,0.9852514,0.0005492563,0.0001922985,0.0003479504,0.000002270094,0.00006173979,0.0006136996],"genre_scores_gemma":[0.6540067,0.004543052,0.3411832,0.0001534372,0.00005749238,0.00002661569,0.000002147314,0.00000749882,0.00001983041],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6509586,"threshold_uncertainty_score":0.783773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2766987464","doi":"10.20965/jaciii.2017.p1094","title":"Comparison of International Differences in the Volatility of Economic Growth and Non-Performing Loan Ratio: A Statistical Study Based on the Quantile Regression Model","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Loan; Non-performing loan; Quantile regression; Volatility (finance); Econometrics; Quantile; Economics; Financial system; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.06860073432625048,"gpt":0.3396829489447159,"spread":0.2710822146184654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001390349,0.0001321511,0.0004105401,0.0002111024,0.0001851785,0.0001104783,0.0005321883,0.00004067079,0.00002104384],"category_scores_gemma":[0.0006036411,0.00008728152,0.00005923459,0.00006637883,0.0002834804,0.0005059902,0.00006812047,0.0002273029,0.000001129522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004889994,"about_ca_system_score_gemma":0.00006266457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002791217,"about_ca_topic_score_gemma":0.00001299382,"domain_scores_codex":[0.9977807,0.00003538056,0.00176663,0.0001119259,0.0001965504,0.000108759],"domain_scores_gemma":[0.9965799,0.0009339119,0.002052747,0.0002247361,0.0001775366,0.00003113959],"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":[0.0001156867,0.0003827497,0.4486705,0.00005946829,0.0000261889,2.658716e-7,0.008781223,0.4575096,0.000002196404,0.08038764,0.000007099129,0.004057342],"study_design_scores_gemma":[0.0001538986,0.000391973,0.131952,0.00008664219,0.000006126768,0.000001880325,0.003789221,0.8179719,0.0001974162,0.04537615,0.000003370561,0.00006945199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6646473,0.00006329769,0.3345559,0.0001687315,0.0001069091,0.0001965303,0.00002642526,0.000001074884,0.0002338302],"genre_scores_gemma":[0.99299,0.00008626339,0.006859476,0.00003498544,0.00001519645,0.00000420392,0.000003797308,0.00000433519,0.000001776579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3604622,"threshold_uncertainty_score":0.3559237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W202788584","doi":"10.20965/jaciii.2004.p0324","title":"Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control","year":2004,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"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":"PMAC; Control theory (sociology); Computer science; Controller (irrigation); Stator; Control engineering; Fuzzy logic; Control system; Control (management); Artificial intelligence; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01065348511175285,"gpt":0.233559434845584,"spread":0.2229059497338312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002271445,0.0003191494,0.0006486272,0.000466229,0.00007771292,0.00005079551,0.0002188928,0.0001010563,0.00001069826],"category_scores_gemma":[0.00006974846,0.0002710127,0.0001549473,0.0003686308,0.0001194548,0.0008383129,0.00001251699,0.0003319464,0.00000454901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844439,"about_ca_system_score_gemma":0.0001212291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005809532,"about_ca_topic_score_gemma":0.000001897965,"domain_scores_codex":[0.997381,0.00002765887,0.001588342,0.0001043849,0.0005824825,0.0003160877],"domain_scores_gemma":[0.997708,0.0003240343,0.0008505647,0.0001299709,0.0008092938,0.00017813],"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":[0.0002727894,0.00006548503,0.00008321549,0.00009974041,0.0003275198,0.000007988107,0.001006525,0.9828821,0.002974309,0.001974545,0.000002327096,0.01030346],"study_design_scores_gemma":[0.002071054,0.001758188,0.0003848916,0.0007416689,0.0002444626,0.0003468651,0.001712176,0.8815985,0.1027491,0.00781646,0.00005288047,0.0005237625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2890056,0.0005019348,0.7097424,0.00002107756,0.0001999039,0.0002800588,0.00001039367,0.00002841285,0.0002102762],"genre_scores_gemma":[0.9510161,0.000333015,0.04840781,0.0001280783,0.00007314191,0.00000435705,0.00000503645,0.00002964882,0.000002799792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6620105,"threshold_uncertainty_score":0.9999742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2689456674","doi":"10.20965/jaciii.2010.p0383","title":"Selected Papers from IWI 2009","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Personalization; Web intelligence; Web modeling; Web development; User interface; Field (mathematics); Web service; Presentation (obstetrics); Web design","retraction":null,"screen_n_in":null,"score":{"opus":0.01390635575115656,"gpt":0.2635077820380454,"spread":0.2496014262868888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003749246,0.0001938382,0.0003103694,0.0003107711,0.0001322207,0.0002652727,0.0008802567,0.00008222029,0.00007050596],"category_scores_gemma":[0.0003154247,0.0001598047,0.0001146767,0.0006279829,0.00009340893,0.001547,0.0001434533,0.000549195,0.00004504683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002464454,"about_ca_system_score_gemma":0.0001756651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007804444,"about_ca_topic_score_gemma":0.000005525398,"domain_scores_codex":[0.9979114,0.00002105867,0.001168263,0.0001350503,0.0005357252,0.0002285237],"domain_scores_gemma":[0.9974884,0.0004670946,0.0007516413,0.0002594012,0.0008225564,0.0002108496],"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":[0.00003765763,0.0001509208,0.000563397,0.00002406632,0.0002247668,0.00001780496,0.004627678,0.2618071,0.001482364,0.03133221,0.0008538135,0.6988782],"study_design_scores_gemma":[0.0003094107,0.0006111289,0.001708457,0.0001720431,0.00007777711,0.0003872708,0.002921879,0.8823289,0.01937818,0.06286674,0.02860701,0.0006312005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029193,0.0001943608,0.8953992,0.0003013492,0.0005210075,0.00005579611,0.00001486592,0.00003379082,0.0005603982],"genre_scores_gemma":[0.6062939,0.0003749441,0.3926782,0.0004730952,0.0001080068,0.000001197011,0.0000215275,0.000006758909,0.0000423626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.698247,"threshold_uncertainty_score":0.6516647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2663077448","doi":"10.20965/jaciii.2009.p0511","title":"Special Issue on Soft Computing for Modeling and Simulation","year":2009,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Soft computing; Excellence; Informatics; Soft skills; Event (particle physics); Government (linguistics); Modeling and simulation; Software; Software engineering; Engineering management; Data science; Artificial intelligence; Simulation; Management; Fuzzy logic; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03538936970135051,"gpt":0.3191531456959236,"spread":0.283763775994573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391624,0.0001738779,0.0002539811,0.0002499791,0.0002221629,0.0002126454,0.000282295,0.00006193191,0.000003873208],"category_scores_gemma":[0.0001863955,0.0001542829,0.00007381333,0.0001713389,0.0000290906,0.0009666755,0.00004265014,0.0002351699,0.000004736594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004323849,"about_ca_system_score_gemma":0.00006522785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.908406e-7,"about_ca_topic_score_gemma":9.603982e-8,"domain_scores_codex":[0.9983339,0.00002181835,0.000977288,0.000120267,0.0003367254,0.0002100275],"domain_scores_gemma":[0.9979227,0.0008137251,0.0005312719,0.0000983476,0.000512834,0.0001211798],"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":[0.00003865214,0.00002019145,0.000009515706,0.00001974658,0.000009369275,9.505593e-7,0.002075821,0.629072,0.000001177965,0.00770502,0.00008997625,0.3609576],"study_design_scores_gemma":[0.0001417502,0.0009356607,0.0000206424,0.0002246809,0.000008501369,0.00004500595,0.0005459205,0.9378974,0.0001580534,0.05683127,0.003031026,0.0001600549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009928244,0.0001633818,0.9885482,0.0004053524,0.0004101467,0.0001604997,0.000002255957,0.00002379458,0.0003581756],"genre_scores_gemma":[0.5695339,0.0001001335,0.4282847,0.001066234,0.0009860896,5.982413e-7,0.0000051953,0.000005711639,0.00001733678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5602634,"threshold_uncertainty_score":0.6291475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2592155077","doi":"10.20965/jaciii.2006.p0443","title":"Special Issue on the Sixth International Conference on Fuzzy Systems (AFSS' 2004)","year":2006,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Computer science; Fuzzy set; Soft computing; Artificial intelligence; Constraint (computer-aided design); Artificial neural network; Operations research; Telecommunications; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02748129887872326,"gpt":0.2666346754565933,"spread":0.2391533765778701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006763847,0.0002761614,0.0003594399,0.0002847616,0.0002016219,0.0005332061,0.001243317,0.0000851791,0.00004747604],"category_scores_gemma":[0.0001123571,0.0001794912,0.0001468139,0.0002833734,0.0001235896,0.0008684894,0.0001123719,0.0004275332,0.0001864483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431071,"about_ca_system_score_gemma":0.0001349275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009016293,"about_ca_topic_score_gemma":0.000001328058,"domain_scores_codex":[0.9968883,0.00008553576,0.00150106,0.0001663883,0.001074743,0.0002840125],"domain_scores_gemma":[0.9970713,0.0006236907,0.001030105,0.0002706344,0.0008873999,0.0001168211],"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":[0.00004945679,0.0000743577,0.00001215834,0.00001158729,0.0000342178,0.00000780442,0.0004615376,0.4369471,0.000003503005,0.5266529,0.007758651,0.02798666],"study_design_scores_gemma":[0.000469982,0.00169638,0.0001595579,0.0005768935,0.0000219406,0.0004298569,0.005644118,0.5332322,0.0005044696,0.328044,0.1286639,0.0005567753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002639737,0.0003513557,0.7781499,0.004084704,0.006350673,0.0004922817,0.00001653232,0.00005039301,0.2078644],"genre_scores_gemma":[0.9752827,0.0005632722,0.01392297,0.002179739,0.006829627,0.00001869043,0.00001322236,0.00001777279,0.001172007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.972643,"threshold_uncertainty_score":0.731944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377138840","doi":"10.20965/jaciii.2023.p0490","title":"Optimization Design Method of Spherical Magnetic Field Generation Coil Based on Differential Evolution Algorithm","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Helmholtz coil; Electromagnetic coil; Magnetic field; Magnetometer; Computer science; Search coil; Earth's magnetic field; Coaxial; Algorithm; Acoustics; Nuclear magnetic resonance; Physics; Magnetic flux","retraction":null,"screen_n_in":null,"score":{"opus":0.02358426044967939,"gpt":0.275327936669644,"spread":0.2517436762199646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607131,0.0001410941,0.0002165664,0.0002657075,0.00005497374,0.00003103433,0.0001000499,0.00008179612,0.00005226484],"category_scores_gemma":[0.00009950612,0.0001276338,0.00007785601,0.0004001319,0.00003023705,0.0002958009,0.00001198618,0.000177439,0.000008120845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007576967,"about_ca_system_score_gemma":0.00003751503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001521676,"about_ca_topic_score_gemma":1.546751e-7,"domain_scores_codex":[0.9984497,0.00004740197,0.00091245,0.00005928537,0.0003937801,0.0001374119],"domain_scores_gemma":[0.998823,0.0004041754,0.0002585716,0.00006874904,0.000378483,0.00006694641],"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":[0.00004278032,0.00002391067,0.000003746056,0.00003692095,0.0000141594,9.93483e-7,0.0002538878,0.8011189,0.0004559528,0.0002806172,0.0001196557,0.1976485],"study_design_scores_gemma":[0.0001359082,0.0009230263,0.00003070245,0.00008439027,0.00002301327,0.00001494979,0.0002579341,0.9653531,0.03155283,0.001462643,0.00004339627,0.0001181594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004345705,0.00006999979,0.9948543,0.00003672595,0.0004307441,0.0001407848,0.000005818995,0.00003675343,0.00007917015],"genre_scores_gemma":[0.3740611,0.000360654,0.625324,0.00007049894,0.0001166048,0.000003693104,0.00004165708,0.00001381437,0.000008073301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3697154,"threshold_uncertainty_score":0.5204755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412959584","doi":"10.20965/jaciii.2025.p0921","title":"Dynamic Sampling and Control for Automated Road Pre-Marking Robot","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"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":"Natural Science Foundation of Hubei Province","keywords":"Computer science; Robot; Computer vision; Artificial intelligence; Curvature; Path (computing); Point (geometry); Reliability (semiconductor); Motion planning; Simulation","retraction":null,"screen_n_in":null,"score":{"opus":0.009333011127074433,"gpt":0.2875408000079824,"spread":0.278207788880908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260196,0.000185656,0.0003049649,0.0002825887,0.000112971,0.00009891743,0.0001394748,0.00007260381,0.000002328097],"category_scores_gemma":[0.0001181263,0.0001650578,0.00007602085,0.0001559719,0.00005825238,0.0004919557,0.00002762184,0.0002249765,6.971474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009922525,"about_ca_system_score_gemma":0.00004972225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.812306e-7,"about_ca_topic_score_gemma":8.576503e-7,"domain_scores_codex":[0.9985679,0.000008580083,0.0009713506,0.00006926652,0.0001595325,0.0002233442],"domain_scores_gemma":[0.9988798,0.0003417227,0.0002437898,0.00006901199,0.0003943228,0.00007137511],"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":[0.00005261004,0.000006423213,0.00007932598,0.0002060215,0.00009680293,5.978493e-7,0.0006659261,0.8164933,0.0001691605,0.001264251,0.0000265743,0.180939],"study_design_scores_gemma":[0.0002598756,0.000129312,0.001102285,0.000466077,0.0000444383,0.00005438399,0.00137806,0.9792196,0.001432188,0.0142783,0.001476381,0.0001591714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04700531,0.001328371,0.9503996,0.00004322696,0.0007820088,0.000230916,0.000008293278,0.00007620317,0.0001260212],"genre_scores_gemma":[0.8339385,0.0009194488,0.1649207,0.0001423457,0.00004024859,0.00000738472,0.000005541367,0.00001175758,0.00001409256],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7869332,"threshold_uncertainty_score":0.6730863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W179913240","doi":"10.20965/jaciii.2000.p0195","title":"Application of Fuzzy Control to a Riderless Bicycle","year":2000,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mechatronics; Computer science; Fuzzy logic; Controller (irrigation); Fuzzy control system; Intelligent control; Architecture; Control engineering; Control (management); Control system; Automatic control; Artificial intelligence; Engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01335753014888529,"gpt":0.2742517362734715,"spread":0.2608942061245862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001641962,0.0001114442,0.0002098106,0.0001977207,0.0000401609,0.00002234237,0.00015439,0.00004159244,0.00004382867],"category_scores_gemma":[0.00002425438,0.0001053565,0.00006300386,0.0002501213,0.00002498184,0.0002746056,0.000008076806,0.0001148434,0.00005190875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003708007,"about_ca_system_score_gemma":0.00002559378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001987485,"about_ca_topic_score_gemma":5.720306e-7,"domain_scores_codex":[0.9985842,0.000007881113,0.001007076,0.00004899143,0.0002386768,0.000113166],"domain_scores_gemma":[0.9990785,0.0001391314,0.0001840005,0.0001012427,0.0003816069,0.0001155453],"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":[0.00002410329,0.00002078166,0.00003242499,0.00002871217,0.00002212835,1.095424e-7,0.0008202422,0.7385195,0.00007931403,0.001384802,0.00003842192,0.2590294],"study_design_scores_gemma":[0.0001342916,0.000108042,0.0002069417,0.00006033977,0.00001708106,0.00002452079,0.0007629262,0.9814047,0.002252459,0.01032679,0.00458634,0.0001155231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1674719,0.0001599409,0.8314573,0.00007567366,0.00005478911,0.0001683239,0.000009338178,0.0000230344,0.0005796735],"genre_scores_gemma":[0.9493263,0.0002971703,0.05009181,0.0002121584,0.00003387261,0.000008217134,0.000005797903,0.000009923645,0.00001475539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7818544,"threshold_uncertainty_score":0.4296312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4249121598","doi":"10.20965/jaciii.2017.p0008","title":"Opening Address","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Beijing; Computer science; Computational intelligence; Corporation; The Internet; Applications of artificial intelligence; Library science; China; Operations research; Political science; World Wide Web; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03236135340954477,"gpt":0.2928700677486036,"spread":0.2605087143390588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002678388,0.0001444608,0.0002589488,0.0001364576,0.0002121805,0.0003221057,0.0004130922,0.00005280431,0.00001944834],"category_scores_gemma":[0.0000872379,0.0001234413,0.00007376823,0.00004916188,0.00007587462,0.001067481,0.00005949838,0.0002219348,0.00002418193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003845966,"about_ca_system_score_gemma":0.0000329465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001102708,"about_ca_topic_score_gemma":5.353045e-7,"domain_scores_codex":[0.9985371,0.000007787206,0.0009605653,0.00004404942,0.0002854711,0.0001650914],"domain_scores_gemma":[0.9987842,0.0000986757,0.0005268754,0.0001612783,0.0003159268,0.0001130342],"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":[0.000007086201,0.000009119857,0.00007869924,0.00007307871,0.00005071087,0.000005913221,0.000849414,0.918184,0.00003020126,0.00303736,0.000167241,0.07750714],"study_design_scores_gemma":[0.000125534,0.0001435167,0.0004154842,0.000404202,0.00001784039,0.0002349239,0.001979166,0.9791863,0.00453682,0.007753963,0.004983878,0.0002183816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07092883,0.0008406104,0.921331,0.0000775539,0.001193534,0.0001305448,0.00000591728,0.00004183442,0.005450129],"genre_scores_gemma":[0.9635459,0.001059571,0.03519996,0.00005074884,0.00008898955,0.000001448876,0.000002745713,0.00001373253,0.00003691449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.892617,"threshold_uncertainty_score":0.5033789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2578735219","doi":"10.20965/jaciii.2000.p0187","title":"Sampling Research on Advanced Computational Intelligence in Canada","year":2000,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Computational intelligence; Diversity (politics); Selection (genetic algorithm); Library science; Intelligence analysis; Operations research; Artificial intelligence; Data science; Sociology; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0725059410162873,"gpt":0.3655839460822779,"spread":0.2930780050659906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001090945,0.0002691236,0.0003945996,0.0005773543,0.0002598381,0.0002334556,0.001268177,0.00006532024,0.00008560934],"category_scores_gemma":[0.0001659307,0.0002486573,0.00007839827,0.001275081,0.0001391671,0.001461373,0.0001584318,0.0008282888,0.00006751942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725428,"about_ca_system_score_gemma":0.001288027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002811825,"about_ca_topic_score_gemma":0.002379567,"domain_scores_codex":[0.995957,0.00008939782,0.001869313,0.0002744114,0.001308828,0.0005010609],"domain_scores_gemma":[0.996383,0.00163801,0.00048447,0.0003276885,0.0009023711,0.0002645121],"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":[0.00002486496,0.0000573798,0.00002458936,0.00001458386,0.00001081401,0.000006825557,0.0007062008,0.5391682,8.860484e-7,0.02234605,0.000080823,0.4375588],"study_design_scores_gemma":[0.0001522765,0.0004374793,0.0005936622,0.0003711341,0.000004215938,0.0001642467,0.003791653,0.90478,0.000391427,0.08136963,0.007638554,0.0003057468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04601368,0.0003185263,0.9514117,0.0006290844,0.0002478249,0.0002597062,0.00002153035,0.00002049097,0.001077463],"genre_scores_gemma":[0.5281152,0.00107943,0.4699324,0.0007110705,0.00005649393,0.00001462802,0.00002169661,0.00001374004,0.00005528954],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4821015,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}