{"id":"W7024351045","doi":"","title":"Résultats préliminaires de l'enquête sur les services offerts par le CCMC-CNRC","year":2010,"lang":"fr","type":"article","venue":"NPARC","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Field (mathematics); Work (physics); Service (business); Government (linguistics)","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":[0.05928743,0.0006913241,0.001022906,0.0120797,0.002420088,0.008801957,0.001795582,0.001937659,0.0204276],"category_scores_gemma":[0.2728631,0.0007578206,0.002721587,0.01783631,0.001826796,0.005391557,0.002706355,0.00207113,0.005269861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007512934,"about_ca_system_score_gemma":0.01272819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1056312,"about_ca_topic_score_gemma":0.1329074,"domain_scores_codex":[0.9356524,0.02618991,0.009653578,0.003285565,0.02143261,0.003786009],"domain_scores_gemma":[0.4455721,0.4216416,0.02796806,0.006433884,0.09530055,0.003083842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003521722,0.0009179011,0.6844007,0.01485982,0.002561057,0.0009894011,0.04382425,0.001684571,0.001780556,0.0118698,0.1019159,0.1316743],"study_design_scores_gemma":[0.0001599066,0.0007926701,0.8127519,0.005067035,0.001993311,0.0005054359,0.03958246,0.001091467,0.002857086,0.001235057,0.1337581,0.0002055012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.678084,0.04288447,0.01265586,0.05375322,0.002120654,0.002019682,0.1036546,0.0003334337,0.104494],"genre_scores_gemma":[0.9026567,0.0107005,0.007706654,0.00916651,0.001277846,0.003225776,0.0297893,0.0003482991,0.03512839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8943688,"threshold_uncertainty_score":0.3135456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560490453496174,"score_gpt":0.3454754203305553,"score_spread":0.2998705157955935,"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."}}