{"id":"W6885989564","doi":"10.1371/journal.pone.0313021.s002","title":"All transcripts.","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summative assessment; Formative assessment; Workaround; Bureaucracy; Process (computing); Qualitative research; Promotion (chess)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004762115,0.0007216299,0.0006607723,0.003159306,0.004486123,0.00407181,0.001635736,0.001704447,0.5817004],"category_scores_gemma":[0.01392096,0.000571755,0.000453297,0.004521069,0.001003541,0.002339419,0.004627625,0.002521304,0.2799063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00359257,"about_ca_system_score_gemma":0.00663938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0088992,"about_ca_topic_score_gemma":0.01332976,"domain_scores_codex":[0.9952427,0.001614723,0.000383918,0.0007936506,0.001381319,0.000583651],"domain_scores_gemma":[0.9889397,0.003668486,0.0003113578,0.001315432,0.005166437,0.0005985892],"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":[0.0001443091,0.00004212937,0.0005618337,0.0008555201,0.000003586954,0.0002527136,0.01128284,0.00007701098,0.0008178886,0.01210836,0.8847544,0.08909937],"study_design_scores_gemma":[0.00001997289,0.0000182453,0.001706255,0.0003616304,0.000002245429,0.00008924583,0.009529475,0.00009438777,0.0003289867,0.001906061,0.9859283,0.00001528454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.009330398,0.0004916901,0.009713481,0.006650806,0.003210688,0.00477656,0.176244,0.002475035,0.7871073],"genre_scores_gemma":[0.0268133,0.0005939242,0.01261531,0.003435602,0.0004047366,0.01141144,0.0633939,0.002278533,0.8790533],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4182996,"threshold_uncertainty_score":0.5966536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04867993243212582,"score_gpt":0.3628008844556656,"score_spread":0.3141209520235398,"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."}}