{"id":"W4206997145","doi":"10.1109/tcyb.2021.3138651","title":"IEEE SYSTEMS, MAN, AND CYBERNETICS SOCIETY","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Engineering ethics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001361223,0.0008852708,0.0008480424,0.0007934062,0.0006736058,0.002897446,0.0004840315,0.001322321,0.04529018],"category_scores_gemma":[0.001575655,0.0003350692,0.0004169082,0.0008097413,0.0008083015,0.00154558,0.001086623,0.002586941,0.01988341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005702375,"about_ca_system_score_gemma":0.001678777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006566887,"about_ca_topic_score_gemma":0.007521288,"domain_scores_codex":[0.9995475,0.00009117027,0.00003158965,0.00007970561,0.0002153433,0.00003468908],"domain_scores_gemma":[0.9982367,0.0002138032,0.00004456928,0.0002711349,0.001105522,0.0001282416],"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":[0.0001114188,0.0001035793,0.001675474,0.0002333337,0.0001054167,0.0002164252,0.0002002676,0.002957621,0.003790438,0.03195206,0.3501405,0.6085133],"study_design_scores_gemma":[0.00002292799,0.00009809509,0.001390889,0.0001710076,0.00008880817,0.0001888365,0.0001656736,0.01310507,0.001637657,0.01316798,0.9699407,0.00002225485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01603067,0.03391317,0.3312135,0.03157621,0.04372836,0.0004010523,0.00208316,0.004774007,0.5362798],"genre_scores_gemma":[0.1690423,0.0347449,0.09737326,0.00468149,0.005189455,0.000429696,0.004017907,0.0006232196,0.6838978],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9547098,"threshold_uncertainty_score":0.1515107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396362567720518,"score_gpt":0.2721917543938467,"score_spread":0.2482281287166416,"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."}}