{"id":"W3120688845","doi":"10.25071/1708-6701.40381","title":"The Operative Archive: American Opera History – by Colleen Renihan (Book)","year":2020,"lang":"en","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Opera; Art; Art history; History","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002807504,0.0001591221,0.000365273,0.00001844462,0.0005195486,0.0000430606,0.0003944802,0.00001980323,0.004940503],"category_scores_gemma":[0.0005064646,0.0001110412,0.0001098855,0.00008488118,0.000852207,0.0001243978,0.00005461865,0.0003333234,0.0003031363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851998,"about_ca_system_score_gemma":0.0001618647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005785462,"about_ca_topic_score_gemma":0.0001003105,"domain_scores_codex":[0.9987689,0.000216081,0.0003916757,0.0002451563,0.0001436391,0.0002345628],"domain_scores_gemma":[0.9991171,0.0001504895,0.0001644358,0.000272898,0.0001056229,0.000189428],"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":[0.000006234025,0.00001766983,0.00000263733,0.0002597153,0.00001913984,0.000005377509,0.007181361,1.033486e-7,0.00006942442,0.09369949,0.891138,0.007600862],"study_design_scores_gemma":[0.00009171698,0.0001198401,0.000003051845,0.0003900631,0.00003957655,0.000003160917,0.000332735,0.00003598091,0.000009746964,0.00004234467,0.9987777,0.0001540399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005191205,0.3843337,0.0002439039,0.1092668,0.0009697421,0.001247732,0.0002799568,0.0001523633,0.5029867],"genre_scores_gemma":[0.008428891,0.1771531,0.000496621,0.3630365,0.004379321,0.0009278246,0.0005620517,0.0001229058,0.4448929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2537697,"threshold_uncertainty_score":0.9959691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03887991335317185,"score_gpt":0.2555564487808248,"score_spread":0.216676535427653,"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."}}