{"id":"W4291248837","doi":"","title":"Comportements alimentaires des patients atteints de cancer ou en rémission dans la cohorte NutriNet-Santé : focus sur la prise de compléments alimentaires","year":2015,"lang":"fr","type":"preprint","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058037,0.0002365013,0.0007189514,0.0006852588,0.0003732624,0.00113593,0.0002626735,0.0008168817,0.003689197],"category_scores_gemma":[0.003518786,0.0001463231,0.001005149,0.001448679,0.0002590276,0.00066529,0.0004582845,0.0008010757,0.0004160939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007886029,"about_ca_system_score_gemma":0.0008460177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02853729,"about_ca_topic_score_gemma":0.01791458,"domain_scores_codex":[0.9995044,0.0001366585,0.00003184934,0.0001588048,0.00007053225,0.00009770978],"domain_scores_gemma":[0.998758,0.0004233322,0.0003733821,0.00007290613,0.0001676875,0.0002048102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001781433,0.00006638182,0.9709571,0.0001563791,0.0005688922,0.0001438519,0.0005545488,0.0001283025,0.0008974434,0.0003553964,0.001419418,0.02297088],"study_design_scores_gemma":[0.00003496746,0.0002918309,0.994201,0.00007647865,0.0002099693,0.0002609078,0.0005240659,0.0001144811,0.0001904355,0.0002612178,0.00382372,0.00001087138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713883,0.01938523,0.0004025601,0.0017783,0.0001130438,0.0000156852,0.004731988,0.00001315337,0.002171855],"genre_scores_gemma":[0.9872111,0.007128535,0.000294471,0.0004091017,0.0001699987,0.00002624191,0.002627674,0.00001173772,0.002121156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02853729,"threshold_uncertainty_score":0.05674237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880514708248994,"score_gpt":0.3777939953218988,"score_spread":0.3389888482394089,"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."}}