{"id":"W6991237301","doi":"","title":"GEI Canada Leads the Way: Integrating Mitigation and Adaptation for Climate Resilience","year":2024,"lang":"en","type":"other","venue":"","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Adaptation (eye); Vulnerability (computing); Climate change; Climate change adaptation; Climate resilience","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":[0.001344224,0.0006610564,0.000318512,0.001273734,0.005850219,0.007567921,0.001744909,0.00533192,0.1674226],"category_scores_gemma":[0.004313199,0.0002664553,0.0004416792,0.002618758,0.002792173,0.002342948,0.004451233,0.003415104,0.02222007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04040824,"about_ca_system_score_gemma":0.1587975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9627449,"about_ca_topic_score_gemma":0.98737,"domain_scores_codex":[0.9981666,0.0001243848,0.00001651496,0.0001024951,0.0008432678,0.0007466751],"domain_scores_gemma":[0.9971763,0.0001981499,0.00005308503,0.0001088013,0.001438109,0.001025483],"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":[0.00001238849,0.00001362668,0.0004446694,0.00004598895,0.000003723238,0.0000408333,0.0001267971,0.0002415886,0.00009601525,0.04702363,0.9151109,0.03683997],"study_design_scores_gemma":[0.00000769943,0.000003413445,0.001133509,0.0001044275,0.000003869191,0.00001526985,0.0005683997,0.0003516751,0.0001412551,0.01060107,0.9870547,0.00001459242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001517741,0.002861435,0.0009504886,0.08291804,0.001410859,0.00006109916,0.003121131,0.0005437156,0.9066156],"genre_scores_gemma":[0.02243682,0.003030176,0.001693625,0.01256471,0.0002425623,0.00005431879,0.001342721,0.0004139972,0.9582211],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1674226,"threshold_uncertainty_score":0.5600845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181904236573563,"score_gpt":0.229554402655064,"score_spread":0.2177353602893284,"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."}}