{"id":"W7006606789","doi":"","title":"Un modèle de couverture des risques supportés par un producteur de cuivre canadien","year":2007,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Latin Americans; Context (archaeology); Politics","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":[0.00278815,0.001121174,0.001104102,0.001271697,0.000601207,0.002773225,0.001838111,0.002322148,0.03044904],"category_scores_gemma":[0.01035254,0.000591555,0.001477745,0.001050035,0.0009159179,0.001739776,0.0007224064,0.001490564,0.00199589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003921188,"about_ca_system_score_gemma":0.003669706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1117222,"about_ca_topic_score_gemma":0.08247838,"domain_scores_codex":[0.9991072,0.000449375,0.00002685014,0.0002059291,0.00008154598,0.0001291114],"domain_scores_gemma":[0.9935587,0.005158433,0.0003209746,0.0002072307,0.0005289161,0.0002257395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001345267,0.0004111241,0.01174425,0.000325667,0.0004649247,0.000187354,0.0005047032,0.8558099,0.0009816667,0.08821765,0.0065274,0.03348009],"study_design_scores_gemma":[0.0003418019,0.0003646772,0.004244323,0.00006862629,0.0003984394,0.00009358916,0.0002145446,0.9510226,0.0003788386,0.03608868,0.006731862,0.00005196196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5511522,0.003161917,0.2884805,0.01855161,0.000710637,0.0007706215,0.01518898,0.003440542,0.1185431],"genre_scores_gemma":[0.9207181,0.0006887863,0.03029201,0.000386944,0.00006707404,0.0004464544,0.001105475,0.0001062879,0.04618885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1117222,"threshold_uncertainty_score":0.2221438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486732579006977,"score_gpt":0.197543288010938,"score_spread":0.1826759622208682,"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."}}