{"id":"W361042765","doi":"","title":"Van Dongen : Femmes. De Montmarte à Monte-Carlo","year":2009,"lang":"fr","type":"article","venue":"Vie des arts","topic":"French Historical and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Computer science; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001257095,0.001300977,0.0009467491,0.001473752,0.0008061159,0.003054678,0.0008460447,0.002862066,0.2517833],"category_scores_gemma":[0.008569707,0.001232845,0.0005638035,0.002178874,0.001088018,0.002981652,0.001432727,0.002367959,0.08079972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276751,"about_ca_system_score_gemma":0.001143675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240723,"about_ca_topic_score_gemma":0.01503459,"domain_scores_codex":[0.9989938,0.0004888634,0.0000433211,0.0001460805,0.0002772067,0.00005066048],"domain_scores_gemma":[0.997354,0.001858192,0.0001189583,0.0002713562,0.0002905823,0.0001068724],"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":[0.00006711589,0.00007609151,0.000412609,0.0004020844,0.00005759986,0.0002218081,0.0004023759,0.01259348,0.000362559,0.3585728,0.3706231,0.2562083],"study_design_scores_gemma":[0.00002706572,0.00001613514,0.0003584605,0.0004432863,0.00001925521,0.0002217359,0.0001116843,0.01241281,0.0003710776,0.1120868,0.8738856,0.00004606537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003817353,0.07891904,0.2249429,0.02130519,0.008145495,0.0001268722,0.005023997,0.005648306,0.6520708],"genre_scores_gemma":[0.09375532,0.02958255,0.09917771,0.002668035,0.003173384,0.0004243906,0.001889775,0.006673565,0.7626552],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2517833,"threshold_uncertainty_score":0.842299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905390288091329,"score_gpt":0.2329030041072563,"score_spread":0.1738491012263431,"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."}}