{"id":"W4205402875","doi":"10.17269/s41997-021-00575-8","title":"Intégrer l’infosurveillance, l’infodémiologie et une recherche interventionnelle conséquente dans nos systèmes de santé publique pour mieux protéger et promouvoir la santé de la population au Canada : idées et perspectives","year":2022,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Université Laval; Institut National de Santé Publique du Québec","funders":"Canadian Institutes of Health Research","keywords":"Political science; Disinformation; Misinformation; Humanities; Public health; Medicine; Nursing; Social media; Philosophy; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0864538,0.0009112179,0.001531335,0.00366866,0.008470588,0.02069285,0.003475354,0.008331739,0.004873313],"category_scores_gemma":[0.05978386,0.0005252886,0.001327026,0.003768116,0.03180537,0.01164559,0.007212161,0.01118204,0.0005824436],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04933238,"about_ca_system_score_gemma":0.2197526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6620634,"about_ca_topic_score_gemma":0.626414,"domain_scores_codex":[0.9538872,0.02992238,0.001134472,0.001687424,0.009315798,0.004052752],"domain_scores_gemma":[0.8689765,0.08449422,0.006189729,0.004524717,0.02487127,0.01094358],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000289666,0.0005194429,0.02111304,0.006806017,0.0005328312,0.0008215195,0.05531047,0.00345895,0.002750417,0.5470719,0.08162858,0.2796971],"study_design_scores_gemma":[0.0001634337,0.0005343561,0.03583462,0.01273481,0.000373351,0.0005317649,0.084236,0.004219424,0.003885731,0.1691639,0.6878805,0.0004421269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01327675,0.07876191,0.009128042,0.8751388,0.001896498,0.0001378093,0.0001864541,0.0001011067,0.02137266],"genre_scores_gemma":[0.6416058,0.1683109,0.05040654,0.1187488,0.004243475,0.0004186165,0.0003025869,0.0001785351,0.01578485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9506676,"threshold_uncertainty_score":0.6798535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08610844453292452,"score_gpt":0.4037987251839861,"score_spread":0.3176902806510615,"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."}}