{"id":"W4255961083","doi":"10.1109/tcyb.2018.2850158","title":"IEEE Transactions on Cybernetics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Psychology; Artificial intelligence","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":[0.0002322904,0.0004648457,0.0003355653,0.00033264,0.0004987282,0.0003367214,0.001340271,0.0002835066,0.0004414218],"category_scores_gemma":[0.000004128145,0.0004603713,0.0003294119,0.0005725118,0.0002886542,0.0003497989,0.000002179399,0.0007789001,0.001963579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674236,"about_ca_system_score_gemma":0.0001008686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398834,"about_ca_topic_score_gemma":0.0002034244,"domain_scores_codex":[0.9971077,0.00009816525,0.0005274686,0.0008149173,0.0007359971,0.0007157142],"domain_scores_gemma":[0.9979274,0.0001874771,0.0001442747,0.001175987,0.000256869,0.0003080511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004475074,0.005840663,0.000008879456,0.0001134949,0.0008431391,0.0001844209,0.01445125,0.09382337,0.01495595,0.02644078,0.02370718,0.8191833],"study_design_scores_gemma":[0.001749908,0.003712142,0.00007659698,0.0002566647,0.0001609377,0.0001427738,0.0001041259,0.2364529,0.7024041,0.003246441,0.05018234,0.00151104],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01055351,0.00001868877,0.972265,0.001193327,0.005200477,0.0002828985,0.00003558415,0.0004597831,0.009990722],"genre_scores_gemma":[0.9648113,0.00008522285,0.01807025,0.001926528,0.0002643981,0.00003636782,8.123082e-7,0.00006320127,0.01474193],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9542578,"threshold_uncertainty_score":0.9997848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749639726608877,"score_gpt":0.2484594518436753,"score_spread":0.2309630545775865,"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."}}