{"id":"W7064107534","doi":"","title":"Analyse bayÃ©sienne et classification pour modÃ¨les continus modifiÃ©s Ã  zÃ©ro","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maximum likelihood; Random noise; Distribution (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00262132,0.001203244,0.001440226,0.001510935,0.0006187597,0.003480488,0.001371525,0.002363243,0.004709309],"category_scores_gemma":[0.007695254,0.0005683093,0.002410615,0.0007823387,0.001812384,0.002435438,0.001284239,0.00301385,0.001093108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002144749,"about_ca_system_score_gemma":0.001200662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207647,"about_ca_topic_score_gemma":0.01225737,"domain_scores_codex":[0.9991755,0.0001146544,0.00004246936,0.0002722731,0.0002873946,0.0001076758],"domain_scores_gemma":[0.9961053,0.002477085,0.0003021631,0.0002383091,0.0006968855,0.0001802197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000559701,0.0001613777,0.0164264,0.000608467,0.0001700993,0.000416454,0.0007390178,0.7762892,0.02559358,0.04458466,0.002947161,0.1315038],"study_design_scores_gemma":[0.000007299728,0.00004707783,0.002045743,0.00004048119,0.00001384707,0.00005032746,0.0001191962,0.9905072,0.001798389,0.003844572,0.001509917,0.00001587366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2341101,0.001479981,0.7568625,0.0007236209,0.0002046623,0.0001059573,0.0003919053,0.0009077053,0.005213589],"genre_scores_gemma":[0.7271454,0.001341919,0.2431568,0.0002363699,0.0001807697,0.0002150353,0.001768581,0.0005538211,0.02540146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0207647,"threshold_uncertainty_score":0.04128766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004852864723375993,"score_gpt":0.151860784430451,"score_spread":0.147007919707075,"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."}}