{"id":"W7133026226","doi":"","title":"Climate Change Adaptation in Quebec Municipalities: Explaining the Strategy Chosen by Local Governments","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Vulnerability (computing); Globe; Political economy of climate change; Climate change adaptation; Adaptation (eye); Climate policy; Greenhouse gas; Empirical research","routes":{"ca_aff":false,"ca_fund":false,"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":[0.003810577,0.0003290347,0.0005051799,0.002438128,0.009495974,0.00562916,0.002104158,0.001098048,0.004818486],"category_scores_gemma":[0.01247865,0.0002557849,0.0004769687,0.006031807,0.004461087,0.001609418,0.002946303,0.001266025,0.0004460946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1207534,"about_ca_system_score_gemma":0.07336425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990458,"about_ca_topic_score_gemma":0.995724,"domain_scores_codex":[0.9954581,0.00136894,0.0001011095,0.000348976,0.0006290606,0.002093788],"domain_scores_gemma":[0.9900486,0.002009624,0.001073273,0.0003770659,0.004450173,0.002041125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002342728,0.0004125301,0.8330359,0.0002408304,0.0001316316,0.0008180972,0.07657833,0.003877569,0.0007830428,0.02861393,0.01632813,0.03894566],"study_design_scores_gemma":[0.00003775182,0.00008773794,0.7486069,0.0003860061,0.00007290746,0.00004763764,0.2241465,0.004819344,0.0001953136,0.001828866,0.01969808,0.00007288452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612377,0.0006872981,0.0004797761,0.004888982,0.00002923189,0.0001840327,0.000681432,0.00002498331,0.03178645],"genre_scores_gemma":[0.9967136,0.0002560798,0.0002276972,0.0002822022,0.0000037821,0.00004635356,0.0001494497,0.000007687134,0.002313118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207534,"threshold_uncertainty_score":0.876131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06823836219809055,"score_gpt":0.3885309681558594,"score_spread":0.3202926059577689,"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."}}