{"id":"W7067385831","doi":"","title":"Le CMFC et la SMRC: Améliorer les choses pour les Canadiens en milieu rural","year":2014,"lang":"fr","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Nuclear materials and radiation effects","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Field (mathematics); Government (linguistics); Perspective (graphical); Product (mathematics)","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":[0.006946913,0.0008060837,0.0003593488,0.001737151,0.00219238,0.00456458,0.001150361,0.004671448,0.03955058],"category_scores_gemma":[0.007446727,0.0002679527,0.0005638207,0.001912056,0.001741791,0.001807893,0.002814974,0.003482661,0.004467481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009534843,"about_ca_system_score_gemma":0.02538897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1325782,"about_ca_topic_score_gemma":0.1127312,"domain_scores_codex":[0.9952314,0.001306101,0.0001117936,0.0003059322,0.001908165,0.001136572],"domain_scores_gemma":[0.995043,0.001167082,0.0003907547,0.0002254195,0.0016366,0.001537105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009657113,0.0002914464,0.008847463,0.001013479,0.00006683215,0.000889009,0.002578983,0.001580552,0.00742949,0.1101453,0.4884727,0.3777189],"study_design_scores_gemma":[0.00003669524,0.00009679866,0.004226257,0.0002166979,0.000009746612,0.0002156395,0.0005140845,0.0001007512,0.000830535,0.001191425,0.992546,0.00001521828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06734088,0.1338071,0.004916284,0.4058805,0.01995675,0.0001927651,0.003536728,0.0008875653,0.3634814],"genre_scores_gemma":[0.3917889,0.04852347,0.01124652,0.03108626,0.00519121,0.0004484048,0.001962919,0.0005233643,0.5092289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8674218,"threshold_uncertainty_score":0.263613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008510425485968925,"score_gpt":0.2130544205500607,"score_spread":0.2045439950640918,"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."}}