{"id":"W4389210999","doi":"10.7557/5.7275","title":"Primed and ready?","year":2023,"lang":"en","type":"article","venue":"Septentrio Conference Series","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering ethics; Accountability; Realm; Research ethics; Protocol (science); Political science; Public relations; Sociology; Engineering; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001382035,0.00008104817,0.0001425809,0.00009002772,0.0001095773,0.0000353082,0.00003607769,0.0000675891,0.0002773247],"category_scores_gemma":[0.000197458,0.00007032025,0.00002073796,0.0002334375,0.0001226626,0.0001290899,0.00002544024,0.0001035723,0.0005258005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001952371,"about_ca_system_score_gemma":0.0002218081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001661211,"about_ca_topic_score_gemma":0.00006863246,"domain_scores_codex":[0.9992747,0.0000186567,0.0001821984,0.0001758255,0.0001253331,0.0002233211],"domain_scores_gemma":[0.999448,0.00005157149,0.00003401946,0.0001561135,0.0001801606,0.0001301445],"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":[0.000504891,0.0001028281,0.1266111,0.0004892341,0.00007887737,0.0001099955,0.01669469,0.000001909732,0.01717125,0.05271008,0.02203022,0.7634948],"study_design_scores_gemma":[0.0003299991,0.001682215,0.2489171,0.0005413251,0.000171403,0.0003753013,0.0447045,0.0009449323,0.2972634,0.03746595,0.3668403,0.0007635895],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789051,0.0001547431,0.00004459813,0.01315016,0.00038595,0.0002782083,0.000004464973,0.0002245699,0.006852176],"genre_scores_gemma":[0.9883591,0.0009743433,0.0001850701,0.0003337528,0.0001459914,0.00002305305,0.00006137216,0.000009191202,0.009908134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7627313,"threshold_uncertainty_score":0.6758276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2256992841979233,"score_gpt":0.416483415794536,"score_spread":0.1907841315966127,"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."}}