{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001919436,0.0004766721,0.0005112411,0.0001222463,0.0004133233,0.0004286765,0.0006191462,0.0002509627,0.0016404],"category_scores_gemma":[0.0009551154,0.0004474275,0.0001464942,0.0002655989,0.0003915463,0.0004286728,0.0002080773,0.0003083542,0.001018351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493891,"about_ca_system_score_gemma":0.0003705326,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140977,"about_ca_topic_score_gemma":0.002726736,"domain_scores_codex":[0.9939024,0.002744596,0.0005390716,0.0006181499,0.0003963263,0.001799481],"domain_scores_gemma":[0.9979289,0.0004106626,0.0002704785,0.000536532,0.0001179026,0.0007355527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003126722,0.0009614688,0.01563138,0.0009816944,0.0002035824,0.000379155,0.02330409,0.001934465,0.6290542,0.1114175,0.1021828,0.113637],"study_design_scores_gemma":[0.0008722205,0.00007652681,0.2523598,0.0001429845,0.00006448571,0.00006279794,0.0001996282,0.0001405953,0.02195367,0.000193275,0.7234187,0.000515321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658731,0.001583612,0.00008855901,0.01016757,0.005942536,0.0005347299,0.0002162473,0.0001927609,0.01540089],"genre_scores_gemma":[0.9822145,0.00151901,0.0007127808,0.0008001791,0.001814377,0.00003709399,0.00003014444,0.0001436795,0.01272825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6212359,"threshold_uncertainty_score":0.9997978,"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."}}