{"id":"W2943722754","doi":"10.14745/ccdr.v45i05a05","title":"Quebec’s Multi-Party Observatory on Zoonoses and Adaptation to Climate Change","year":2019,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Institut National de Santé Publique du Québec; Ministère de la Santé et des Services Sociaux (Québec); Ministère des Ressources naturelles et des Forêts; Centre Hospitalier Universitaire de Sherbrooke; Canadian Food Inspection Agency; Ouranos; Public Health Agency of Canada; Université de Montréal","funders":"","keywords":"Climate change; Observatory; Public health; Geography; Political science; Environmental planning; Government (linguistics); Environmental resource management; Adaptation (eye); Environmental protection; Public administration; Ecology; Biology; Medicine; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.002489971,0.0007351398,0.0003782988,0.001518078,0.004991495,0.002445613,0.001751129,0.001814159,0.01898853],"category_scores_gemma":[0.004257016,0.000364321,0.0005454749,0.002484057,0.001195514,0.0008153135,0.001631619,0.002092051,0.001288565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05297536,"about_ca_system_score_gemma":0.1777209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960556,"about_ca_topic_score_gemma":0.99763,"domain_scores_codex":[0.9971638,0.0003149843,0.00008455525,0.0001994003,0.001533277,0.0007039229],"domain_scores_gemma":[0.9904473,0.001034944,0.0006627146,0.0003568132,0.005009835,0.002488378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000152301,0.00008988459,0.03995604,0.0004841923,0.00005293656,0.0003424754,0.0009390509,0.001122063,0.001213634,0.008859594,0.8806946,0.06609328],"study_design_scores_gemma":[0.00003783301,0.0000287901,0.1588221,0.0002602829,0.00001838668,0.00005619797,0.0008094618,0.0009619599,0.0004661084,0.0003832564,0.8380888,0.00006677092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06005456,0.02083156,0.01094765,0.149445,0.005790769,0.003569017,0.2279577,0.002106746,0.5192969],"genre_scores_gemma":[0.3207729,0.01210934,0.02106753,0.02668246,0.0006751376,0.00117869,0.06719628,0.0004902909,0.5498274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05297536,"threshold_uncertainty_score":0.384365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07640976393548395,"score_gpt":0.3045714454114047,"score_spread":0.2281616814759208,"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."}}