{"id":"W2261471440","doi":"","title":"Accessibilité géographique potentielle à l'ostéodensitométrie pour la population féminine à risque du Québec","year":2007,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.001362508,0.0003663693,0.0005088045,0.001642824,0.001879339,0.002191517,0.001009761,0.0005458494,0.02135168],"category_scores_gemma":[0.00625232,0.0002494384,0.0005969359,0.002945262,0.000571249,0.0007768754,0.0009924666,0.0007222201,0.001358357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01640897,"about_ca_system_score_gemma":0.03566617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850835,"about_ca_topic_score_gemma":0.9888573,"domain_scores_codex":[0.9989287,0.0002317626,0.00003891588,0.000133839,0.0003952294,0.0002714919],"domain_scores_gemma":[0.9945222,0.0006999739,0.0005200408,0.0001972806,0.00332547,0.0007349869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001838421,0.000120729,0.7840482,0.000687275,0.0002567852,0.0002382378,0.002642774,0.001780314,0.0009284161,0.002473146,0.0427899,0.1638503],"study_design_scores_gemma":[0.00002431425,0.0001164815,0.9311101,0.0005783011,0.0001650516,0.0001385413,0.00428707,0.002677764,0.0003454268,0.0004909251,0.06000756,0.00005844858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7701313,0.01236806,0.01184306,0.0297584,0.000509195,0.0006934241,0.05325757,0.0006782938,0.1207608],"genre_scores_gemma":[0.9377437,0.005564248,0.007350301,0.001788734,0.0001270818,0.000375672,0.006900617,0.00007373479,0.0400759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02135168,"threshold_uncertainty_score":0.119056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414650617822444,"score_gpt":0.2269166848100825,"score_spread":0.212770178631858,"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."}}