{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04377216,0.0002628671,0.0005200211,0.0005277613,0.001091804,0.0006228266,0.0006166101,0.0002857622,0.001355832],"category_scores_gemma":[0.01573159,0.0002801921,0.0002032183,0.001306303,0.0004332579,0.001358789,0.00006158168,0.001939604,0.000002768701],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02329462,"about_ca_system_score_gemma":0.2200833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9715032,"about_ca_topic_score_gemma":0.9954035,"domain_scores_codex":[0.9748769,0.02176354,0.001182255,0.0002357481,0.0006195312,0.001322022],"domain_scores_gemma":[0.9939057,0.001608143,0.001354718,0.0002084772,0.0005880067,0.002335012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000242903,0.0001970065,0.07997486,0.0002954846,0.0002121429,0.0001471593,0.4696041,0.001113695,0.000004661501,0.2205864,0.2018858,0.0259544],"study_design_scores_gemma":[0.0007334159,0.0002912297,0.453931,0.0003111003,0.00001351974,0.0007462956,0.312523,0.0003426393,0.000001464082,0.005415689,0.2253745,0.0003161402],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.627788,0.003875668,0.004415611,0.3055722,0.001200042,0.0008957873,0.0005494378,0.00003976447,0.05566344],"genre_scores_gemma":[0.9860434,0.000960118,0.001080314,0.009142124,0.0002645575,0.00001996625,0.00005330405,0.00003011669,0.002406076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3739561,"threshold_uncertainty_score":0.999965,"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."}}