{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005814931,0.0002399612,0.000280096,0.00008646077,0.003083835,0.0001372716,0.0003071277,0.0001310221,0.0003635676],"category_scores_gemma":[0.000008504996,0.0002801447,0.0001902371,0.000447342,0.000566271,0.0001047223,0.000009459712,0.000655118,0.0000416577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948498,"about_ca_system_score_gemma":0.0001434973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003007577,"about_ca_topic_score_gemma":0.002692145,"domain_scores_codex":[0.9975306,0.0003284244,0.0003200411,0.0004310239,0.0008595243,0.0005304038],"domain_scores_gemma":[0.999009,0.0002949559,0.0001034459,0.0002899956,0.0001032451,0.0001993926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003378914,0.003708916,0.000850935,0.0003525317,0.001934583,0.0001431367,0.5191612,0.1171812,0.0006425111,0.09697255,0.1788966,0.07981789],"study_design_scores_gemma":[0.001162986,0.0004177071,0.0002813188,0.00004219615,0.0003008886,0.00003240434,0.07670595,0.002341113,0.0003274711,0.001481589,0.9159783,0.0009280682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7207111,0.009040249,0.06606927,0.01830963,0.0257076,0.004769618,0.001800207,0.002215437,0.1513769],"genre_scores_gemma":[0.9847921,0.002304313,0.0002255181,0.0005500717,0.0001925602,0.0001459528,0.000003107176,0.00003616829,0.01175028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7370816,"threshold_uncertainty_score":0.9999651,"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."}}