{"id":"W2990198278","doi":"10.1289/isesisee.2018.p03.3690","title":"Collective Intelligence and Skills Mobilization: The Key of the Outbreak in Trois-Rivières","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec","funders":"","keywords":"Outbreak; Residence; Epidemiology; Public health; Medicine; Waterborne diseases; Environmental health; Water supply; Legionella; Geography; Demography; Virology; Environmental engineering; Pathology; Biology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002477565,0.0005183457,0.0003049448,0.001268863,0.008228946,0.004493691,0.00115714,0.00152644,0.006238095],"category_scores_gemma":[0.005789881,0.0002591607,0.0003531703,0.0006868414,0.003973458,0.00208777,0.005700646,0.003975022,0.0008896005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005441194,"about_ca_system_score_gemma":0.01292083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07939222,"about_ca_topic_score_gemma":0.1189499,"domain_scores_codex":[0.9974602,0.0007269237,0.00005695564,0.0001612405,0.0003215225,0.001273223],"domain_scores_gemma":[0.996216,0.000417971,0.000434,0.00008583888,0.0005386457,0.002307567],"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":[0.0003757865,0.0009039849,0.2336028,0.0007468096,0.00009513865,0.009551226,0.2721208,0.0003403659,0.003035045,0.01289212,0.1131651,0.3531709],"study_design_scores_gemma":[0.00002957788,0.0003981542,0.4198233,0.001245688,0.00005079187,0.001920988,0.3927353,0.0004767861,0.0006759387,0.006234279,0.1763134,0.00009571962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.734073,0.004635961,0.0009719392,0.1230679,0.00196502,0.0003506668,0.0002873463,0.0001160472,0.1345321],"genre_scores_gemma":[0.9794396,0.00160272,0.0006495799,0.00437981,0.0002992423,0.000135315,0.0001339739,0.00003312552,0.01332667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07939222,"threshold_uncertainty_score":0.1578602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032296224596553,"score_gpt":0.2935749238434088,"score_spread":0.2632519615974433,"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."}}