{"id":"W7023738918","doi":"","title":"Public health adaptation to climate change in the federalist states of Canada and Germany","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Health, psychology, and well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Public health; Climate change; Government (linguistics); Adaptation (eye); Health policy; Public policy; Local government","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002941256,0.0002363327,0.0003424661,0.001559602,0.01643955,0.004457857,0.001371605,0.0009489725,0.001966584],"category_scores_gemma":[0.005035094,0.0003023573,0.0003599859,0.003346727,0.006448564,0.001016813,0.002708588,0.001337144,0.00009200977],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2444706,"about_ca_system_score_gemma":0.2155467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977932,"about_ca_topic_score_gemma":0.9990902,"domain_scores_codex":[0.9950654,0.0008088805,0.000112852,0.0003190139,0.0008120405,0.002881878],"domain_scores_gemma":[0.9968255,0.0007351114,0.0002982559,0.0001062897,0.0009112238,0.001123646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002460956,0.0001788309,0.2381023,0.0004055268,0.0001401966,0.002329384,0.496462,0.005068083,0.002680148,0.1618134,0.02161167,0.07096241],"study_design_scores_gemma":[0.00002406232,0.00005342304,0.4503703,0.0004141326,0.00005447635,0.0001972014,0.4251928,0.001888871,0.0007856623,0.002042155,0.118809,0.00016801],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619998,0.001510794,0.0003666247,0.005164936,0.0000478591,0.00009973712,0.0003785791,0.00002237782,0.0304094],"genre_scores_gemma":[0.9959116,0.0004058404,0.0002632253,0.0003978901,0.000002511215,0.00002091661,0.000092487,0.000004738742,0.002900908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7555294,"threshold_uncertainty_score":0.876307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105331275080159,"score_gpt":0.3909966721834664,"score_spread":0.2804635446754504,"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."}}