{"id":"W4206914027","doi":"10.1109/tcyb.2021.3064670","title":"IEEE Transactions on Cybernetics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001198635,0.0009865523,0.001037309,0.001247967,0.0004615788,0.0032412,0.0005974843,0.001480137,0.03743932],"category_scores_gemma":[0.00275297,0.0002784039,0.000503248,0.0009624038,0.001151317,0.001847304,0.0009956704,0.001967431,0.01204875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005269924,"about_ca_system_score_gemma":0.001017888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003071721,"about_ca_topic_score_gemma":0.00325904,"domain_scores_codex":[0.9993373,0.0001374899,0.00005764512,0.00009108488,0.0003345472,0.00004200757],"domain_scores_gemma":[0.9981571,0.0003652717,0.00005817507,0.0004517053,0.0008581446,0.000109587],"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":[0.0001737927,0.0001737997,0.002598132,0.0006158312,0.00018126,0.0002633515,0.0002112534,0.01129876,0.005611831,0.1265524,0.2230335,0.6292862],"study_design_scores_gemma":[0.00004133959,0.0001131023,0.002455548,0.0002961897,0.0001490129,0.0004274043,0.0002301392,0.03519624,0.002570523,0.1109677,0.8475114,0.00004148212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01399473,0.05852367,0.4248089,0.02647478,0.06973742,0.0002854067,0.001631825,0.002556797,0.4019864],"genre_scores_gemma":[0.3343146,0.06822262,0.1683101,0.005321433,0.008371729,0.0005518098,0.004074408,0.0006138285,0.4102196],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9625607,"threshold_uncertainty_score":0.125247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703339875355985,"score_gpt":0.2415432120563286,"score_spread":0.2245098133027688,"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."}}