{"id":"W4380270555","doi":"10.1515/9780228009856-011","title":"Canada: Mitigation, Impacts, and Adaptation","year":2022,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Environmental science; Environmental resource management; Geography; Psychology","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":[0.001095635,0.00176557,0.0009161129,0.003020477,0.006919562,0.008230467,0.001965108,0.003392409,0.0224382],"category_scores_gemma":[0.002643615,0.0007807781,0.0005835949,0.01011835,0.007283101,0.00252712,0.002347342,0.003595211,0.00234348],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1490168,"about_ca_system_score_gemma":0.2805099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995028,"about_ca_topic_score_gemma":0.997592,"domain_scores_codex":[0.997946,0.0001952495,0.00004370417,0.000140056,0.001197178,0.000477891],"domain_scores_gemma":[0.9992889,0.00008069906,0.0000284302,0.00004546405,0.0004331074,0.0001232795],"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":[0.00001378871,0.00001947073,0.0004613195,0.0003330852,0.00001548165,0.00005697253,0.0009930611,0.001368972,0.00008099932,0.2113501,0.7170992,0.06820754],"study_design_scores_gemma":[0.000004751886,0.000003036889,0.001739246,0.0004384767,0.00001221338,0.00002241719,0.001042116,0.0002235585,0.00005843318,0.02615018,0.9702826,0.00002289629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001493974,0.2506479,0.00156826,0.06246125,0.002582688,0.00009213473,0.002375463,0.0002356089,0.6785426],"genre_scores_gemma":[0.08755292,0.2062158,0.003680158,0.01215831,0.000855409,0.0001933377,0.001370948,0.000245382,0.6877278],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1490168,"threshold_uncertainty_score":0.9870199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635255761222971,"score_gpt":0.206608306040121,"score_spread":0.1902557484278913,"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."}}