{"id":"W4238521532","doi":"10.1109/tcyb.2019.2956023","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":18,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001185363,0.0009626504,0.001037102,0.001241152,0.0004554717,0.00320524,0.0005896647,0.001466803,0.03808669],"category_scores_gemma":[0.002732037,0.0002689925,0.0005111505,0.0009429285,0.001141484,0.00176371,0.0009996978,0.00191984,0.01190409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005332906,"about_ca_system_score_gemma":0.00102637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003098107,"about_ca_topic_score_gemma":0.003225201,"domain_scores_codex":[0.9993408,0.0001359209,0.00005741084,0.0000908982,0.0003326706,0.00004224467],"domain_scores_gemma":[0.9981535,0.0003528334,0.00005917434,0.0004561638,0.0008700857,0.0001083054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001862485,0.0001793737,0.002718182,0.0006304936,0.0001925822,0.0002724488,0.0002076153,0.01241995,0.005939306,0.1281604,0.217993,0.6311004],"study_design_scores_gemma":[0.00004426322,0.0001211266,0.002635891,0.0003024428,0.0001555157,0.0004397159,0.0002388258,0.03973041,0.002721234,0.1124393,0.8411269,0.00004444363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01472259,0.05612802,0.4371049,0.02622727,0.0710158,0.0002989807,0.001698229,0.002568638,0.3902355],"genre_scores_gemma":[0.3426455,0.06418692,0.1707336,0.005200821,0.008321422,0.000566274,0.004146984,0.0006019692,0.4035966],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9619133,"threshold_uncertainty_score":0.1274126,"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."}}