{"id":"W1729052875","doi":"10.1111/ropr.12004","title":"Climate Change Adaptation and Policy Capacity in the Canadian Finance Sector: A Meso Analysis","year":2013,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; Memorial University of Newfoundland","funders":"","keywords":"Operationalization; Climate change; Corporate governance; Adaptation (eye); Climate change adaptation; Policy analysis; Political economy of climate change; Adaptive capacity; Climate policy; Economics; Public economics; Environmental resource management; Business; Regional science; Political science; Finance; Public administration; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003563511,0.0001358237,0.0005885062,0.002045173,0.0001914371,0.00009729644,0.0003845866,0.00009565757,0.0002434868],"category_scores_gemma":[0.0007220509,0.00012409,0.0001386178,0.002874152,0.0001783976,0.0002749004,0.0000858843,0.0002847828,0.0003270044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004672102,"about_ca_system_score_gemma":0.0001315944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8306593,"about_ca_topic_score_gemma":0.4723373,"domain_scores_codex":[0.9980602,0.0001524689,0.0006484934,0.0003178943,0.00008018898,0.0007407718],"domain_scores_gemma":[0.9988444,0.0002080007,0.0002224444,0.0004974004,0.00008583265,0.0001418489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004517802,0.00006843729,0.04364185,0.003668624,0.00009471604,0.000002037852,0.009072907,0.000008465167,0.000002201736,0.9232199,0.001479248,0.01873707],"study_design_scores_gemma":[0.0006808923,0.0001781828,0.7795508,0.001937726,0.00005540719,0.00001609465,0.0009160509,0.01148084,0.00001053951,0.09743346,0.1070363,0.000703692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6116777,0.1292645,0.000009490245,0.1450031,0.00007598781,0.003714945,0.002202668,0.00001990854,0.1080316],"genre_scores_gemma":[0.7673103,0.2293946,0.00006541908,0.002609604,0.0002427925,0.0003093592,0.00002367892,0.00001214711,0.00003209863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8257865,"threshold_uncertainty_score":0.5372912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5108321546268554,"score_gpt":0.3954663454492771,"score_spread":0.1153658091775783,"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."}}