{"id":"W4221041434","doi":"10.3917/spub.216.0829","title":"Pandémie de COVID-19 : appel à l’engagement des universitaires dans l’espace public","year":2022,"lang":"fr","type":"article","venue":"Santé Publique","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Misinformation; Pandemic; Coronavirus disease 2019 (COVID-19); Public engagement; Democratization; Public health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public space; Political science; Sociology; Public relations; Politics; Democracy; Medicine; Virology; Outbreak; Nursing","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":[0.02936018,0.0005247386,0.00055666,0.001115251,0.01770639,0.01957056,0.00137519,0.01314119,0.009363906],"category_scores_gemma":[0.03321167,0.0004417833,0.0009083123,0.001422809,0.03226184,0.01301247,0.01698704,0.01767869,0.001396511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01049214,"about_ca_system_score_gemma":0.01733911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419046,"about_ca_topic_score_gemma":0.01035321,"domain_scores_codex":[0.9721911,0.01937524,0.0005965856,0.001561847,0.002704942,0.003570241],"domain_scores_gemma":[0.9695379,0.01947717,0.001856859,0.001775199,0.002118439,0.005234408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009896552,0.00008541423,0.002874747,0.0001710866,0.0000275724,0.0009525072,0.1832345,0.0001824408,0.0004976235,0.7606006,0.0234075,0.02786707],"study_design_scores_gemma":[0.00003775547,0.0001314391,0.002528934,0.0006667904,0.00001838359,0.0006649324,0.09918573,0.0003995791,0.0006319388,0.09004385,0.8056276,0.00006291597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0718644,0.01255694,0.006959978,0.6051071,0.00390373,0.0001438199,0.00007093049,0.00009303226,0.2993],"genre_scores_gemma":[0.9238619,0.003557005,0.002061469,0.03212569,0.001129746,0.0001764487,0.0000373866,0.00006356582,0.03698688],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02936018,"threshold_uncertainty_score":0.1552733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05101580670306806,"score_gpt":0.3233378246968276,"score_spread":0.2723220179937596,"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."}}