{"id":"W4254222948","doi":"10.1109/tcyb.2019.2918606","title":"IEEE Transactions on Cybernetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002155676,0.0004672535,0.0003820205,0.000324113,0.0002441313,0.0003125647,0.001300578,0.0002868104,0.0005798857],"category_scores_gemma":[0.000002337299,0.000464204,0.0003859406,0.0004907978,0.00009695008,0.0003785844,0.000002056971,0.000934884,0.003278524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774309,"about_ca_system_score_gemma":0.0000967863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000116831,"about_ca_topic_score_gemma":0.00006991054,"domain_scores_codex":[0.9970995,0.00009250162,0.0005192189,0.0008321416,0.0007765339,0.0006800679],"domain_scores_gemma":[0.9979446,0.0002321599,0.0001468364,0.001257707,0.0001500465,0.0002686724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002835632,0.00411828,0.00002296654,0.0001630596,0.0006231723,0.0001192809,0.006630173,0.5944476,0.01415325,0.02174321,0.006848473,0.350847],"study_design_scores_gemma":[0.003158985,0.003414804,0.0001644243,0.0004250995,0.0001895908,0.0001653036,0.0001750258,0.4279969,0.5113459,0.002937671,0.04779704,0.002229247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03037698,0.00002566273,0.9521992,0.0009934969,0.005286945,0.0004253036,0.00003516798,0.000405685,0.01025161],"genre_scores_gemma":[0.9602069,0.0001052748,0.009816461,0.001522011,0.00008383443,0.00003416826,0.00000112041,0.00006438131,0.02816586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9423827,"threshold_uncertainty_score":0.999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257849392843286,"score_gpt":0.2309222760300471,"score_spread":0.2183437821016142,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}