{"id":"W7062502940","doi":"","title":"SynthÃ¨se de superviseurs pour des systÃ¨mes Ã  Ã©vÃ©nements discrets partiellement observÃ©s","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electromyography; Diabetes mellitus; Work (physics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001765558,0.0005383995,0.0005230625,0.00003191573,0.000334471,0.00007032821,0.0004080445,0.00006299608,0.004915343],"category_scores_gemma":[9.318709e-7,0.0005352932,0.0000826177,0.00009625315,0.0001731131,0.0003202063,0.0001855256,0.0002499968,2.220651e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002393751,"about_ca_system_score_gemma":0.002906726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007695969,"about_ca_topic_score_gemma":0.0237217,"domain_scores_codex":[0.996796,0.000126421,0.000543012,0.0004489744,0.001215469,0.0008701609],"domain_scores_gemma":[0.9987205,0.0001490524,0.0002544719,0.0003111285,6.973318e-7,0.0005640968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006888217,0.0002272454,0.8573956,0.001268482,0.001079829,0.0001232658,0.0009556136,0.000391209,0.01297068,0.01728957,0.008444089,0.09916561],"study_design_scores_gemma":[0.001333454,0.0001475157,0.2702299,0.001968093,0.000191126,0.00000520194,0.003121888,0.004903461,0.1618332,0.0009673189,0.5540053,0.001293521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5486581,0.001052047,0.0000865624,0.001753036,0.0003015773,0.0003633788,0.0008996424,0.0000126958,0.446873],"genre_scores_gemma":[0.7734648,0.0006035262,0.0007081003,0.000371531,0.0002469999,0.00004134908,0.00005340122,0.00009425069,0.224416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5871657,"threshold_uncertainty_score":0.9997098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007003563974145677,"score_gpt":0.158326627217626,"score_spread":0.1513230632434803,"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."}}