{"id":"W4244992691","doi":"10.14322/publons.r2547993","title":"10.14322/publons.r2547993","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Engineering ethics; Political science; Medical education; Sociology; Library science; Engineering; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001860351,0.001989787,0.001292003,0.004587599,0.0007328193,0.003747405,0.002861945,0.002223373,0.4037012],"category_scores_gemma":[0.01206476,0.001156274,0.001067101,0.01049726,0.0005963484,0.001548952,0.00268326,0.001392946,0.5128403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510408,"about_ca_system_score_gemma":0.002305855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839543,"about_ca_topic_score_gemma":0.02785395,"domain_scores_codex":[0.9985391,0.0002874573,0.0002061867,0.0004097728,0.0002939101,0.0002636559],"domain_scores_gemma":[0.9952621,0.001546719,0.00068922,0.001162961,0.0008132405,0.0005257519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008249043,0.00002132429,0.00115571,0.0008251246,0.00003832687,0.00001514552,0.00002673142,0.0002514345,0.00005621594,0.0004754692,0.993374,0.00367808],"study_design_scores_gemma":[0.000426543,0.00003104031,0.004006858,0.0004835346,0.00004420461,0.00003119379,0.00007949631,0.0003385226,0.0002921931,0.001030235,0.9932048,0.00003133637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000802429,0.00004268131,0.00006355296,0.00005247418,0.00001715319,0.000008422221,0.998364,0.0003282619,0.001043217],"genre_scores_gemma":[0.0005453284,0.00007187208,0.0001786505,0.00007560888,0.00001205245,0.00009762082,0.9957748,0.0001966142,0.003047494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5962988,"threshold_uncertainty_score":0.8505479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250977256987229,"score_gpt":0.3660140916587658,"score_spread":0.2409163659600429,"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."}}