{"id":"W7001405362","doi":"","title":"L'animation télévisuelle en santé: un moyen de développer des connaissances sur l'approvisionnement alimentaire pour les personnes de faible niveau de littératie","year":2009,"lang":"fr","type":"report","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poison control; Cultural environment; Life style","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":[0.00624525,0.0006125479,0.000368568,0.001562849,0.001313567,0.006001189,0.001331104,0.001541282,0.01723709],"category_scores_gemma":[0.01932316,0.0002939339,0.0006005024,0.0009426443,0.001992711,0.005243294,0.00352873,0.001726199,0.001843486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003312605,"about_ca_system_score_gemma":0.004493748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358496,"about_ca_topic_score_gemma":0.0161554,"domain_scores_codex":[0.9966229,0.002256212,0.0001058464,0.0002559638,0.0005999852,0.0001590553],"domain_scores_gemma":[0.9869419,0.00923483,0.0005261885,0.0006429114,0.001804007,0.0008502502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003667021,0.0004433604,0.01395313,0.002372271,0.0000674571,0.0002606954,0.04775704,0.002523347,0.007037878,0.06574786,0.02629069,0.8331796],"study_design_scores_gemma":[0.0001357768,0.001077584,0.03160422,0.007743143,0.0003255163,0.0008295574,0.06499001,0.01581042,0.008326632,0.03386278,0.835045,0.0002493297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2890815,0.03080724,0.1823032,0.06545628,0.002879394,0.001282153,0.0008239587,0.003014404,0.4243519],"genre_scores_gemma":[0.7020071,0.03374012,0.1807053,0.00553936,0.000561331,0.001138696,0.0008245291,0.0005360454,0.07494754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01723709,"threshold_uncertainty_score":0.05766386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149802071424419,"score_gpt":0.2652039833743108,"score_spread":0.2337059626600667,"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."}}