{"id":"W7104247587","doi":"10.71781/783","title":"Association entre l’accessibilité géographique aux commerces d’alimentation et la consommation de fruits et légumes chez les adultes québécois : analyse de la banque de données de santé CARTaGENE","year":2020,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food intake; Food consumption; Food supply; Consumption (sociology)","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":[0.0009006801,0.0002588831,0.0002681521,0.0007916809,0.0006523391,0.0008388002,0.0005203588,0.0003245964,0.003974007],"category_scores_gemma":[0.002784492,0.0001918946,0.000446486,0.002467358,0.0003731942,0.0003079444,0.0004061567,0.0003574668,0.0002564743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003838476,"about_ca_system_score_gemma":0.004231766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9461714,"about_ca_topic_score_gemma":0.9658933,"domain_scores_codex":[0.9993919,0.0001251915,0.00004918566,0.0001237871,0.0001982923,0.0001116074],"domain_scores_gemma":[0.9975413,0.0006322172,0.0005299631,0.0001225229,0.0009136653,0.0002602878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004830588,0.00001348876,0.9953897,0.00004102756,0.0001074287,0.00003449034,0.0005903731,0.00007019461,0.0002833206,0.0000356853,0.0002554886,0.0031305],"study_design_scores_gemma":[9.143546e-7,0.00001141938,0.9990288,0.0000114179,0.00001782257,0.00001020756,0.000412816,0.00009346304,0.00002940538,0.000003503565,0.0003788216,0.000001525471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949912,0.0005340937,0.0002344994,0.0001460378,0.00000543745,0.00002358052,0.002794608,0.000004200265,0.001266308],"genre_scores_gemma":[0.9941393,0.0005098199,0.0004084021,0.00006245905,0.000004183375,0.00003712181,0.001700585,0.000002891084,0.003135198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0538286,"threshold_uncertainty_score":0.1082911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008622996850461678,"score_gpt":0.2439571469726984,"score_spread":0.2353341501222367,"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."}}