{"id":"W7018196104","doi":"","title":"Corneille nell’ombra di Molière. Come identificare un autore?","year":2012,"lang":"en","type":"article","venue":"OpenstarTs (Univeristy of Trieste https://www.units.it/)","topic":"Historical and Literary Analyses","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Subject (documents); Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.0009684791,0.0007651373,0.0003971234,0.001399385,0.002778599,0.004163525,0.0004606878,0.001510449,0.02291246],"category_scores_gemma":[0.003935957,0.0002717465,0.0003410179,0.0006782577,0.002334049,0.003340728,0.00137846,0.002760316,0.006636575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002620072,"about_ca_system_score_gemma":0.0007403331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240961,"about_ca_topic_score_gemma":0.02558425,"domain_scores_codex":[0.9989755,0.0003491895,0.00002158121,0.0002032535,0.0003297802,0.0001207421],"domain_scores_gemma":[0.9989216,0.0004882104,0.0001245451,0.000109687,0.0002203475,0.0001356792],"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":[0.0003603525,0.00008474416,0.006547728,0.0004491287,0.00004346711,0.001853936,0.03945123,0.000144873,0.002660583,0.3096558,0.5114362,0.1273119],"study_design_scores_gemma":[0.000009477828,0.00001358016,0.003173629,0.0001919143,0.000004238476,0.0007536359,0.002858806,0.00009501907,0.0005159071,0.004021903,0.9883484,0.00001353069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0583639,0.07560983,0.00419315,0.1271568,0.0115827,0.00005849115,0.001071454,0.001106242,0.7208574],"genre_scores_gemma":[0.5103078,0.01091155,0.003186889,0.01380773,0.004396943,0.00007572331,0.0006048027,0.0009480573,0.4557605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02291246,"threshold_uncertainty_score":0.07664979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644214164338406,"score_gpt":0.2348295128073325,"score_spread":0.1783873711639484,"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."}}