{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000181556,0.0004430422,0.0003666809,0.0002334556,0.0003724046,0.0003968196,0.000984495,0.0002776134,0.0004543972],"category_scores_gemma":[0.000005724302,0.000465622,0.0004175399,0.000653283,0.0001169649,0.0003133182,0.00000245198,0.0009368966,0.0008385783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737651,"about_ca_system_score_gemma":0.0001861169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007710712,"about_ca_topic_score_gemma":0.0001703953,"domain_scores_codex":[0.9970582,0.000130777,0.0005342821,0.0008624284,0.0007586605,0.0006556861],"domain_scores_gemma":[0.9978597,0.0002439437,0.0001238736,0.001204631,0.0002660604,0.0003018035],"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":[0.0001640701,0.005924894,0.000006513538,0.0001396364,0.0007764567,0.0008313428,0.006897456,0.3981614,0.0190806,0.0240825,0.01076347,0.5331717],"study_design_scores_gemma":[0.001460284,0.0009112672,0.00005417818,0.0002357481,0.0001539019,0.0002724761,0.0001407548,0.1361071,0.8223825,0.002490717,0.03460333,0.001187779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007265501,0.00006426663,0.9783168,0.001975347,0.004332785,0.0001957101,0.00004647084,0.000370219,0.007432941],"genre_scores_gemma":[0.9510204,0.0002606512,0.02179289,0.002209072,0.0001189721,0.00003775692,0.000002082418,0.0000630522,0.02449515],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9565239,"threshold_uncertainty_score":0.9999394,"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."}}