{"id":"W4308705951","doi":"10.5334/bc.251","title":"Canadian cities: climate change action and plans","year":2022,"lang":"en","type":"article","venue":"Buildings and Cities","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Climate change; Incentive; Corporate governance; Business; Political science; Environmental planning; Environmental resource management; Economics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001937532,0.001006501,0.0004103156,0.0049308,0.00903632,0.006572078,0.002240072,0.002126832,0.05294073],"category_scores_gemma":[0.006202091,0.0006439289,0.0008819801,0.009762966,0.001273859,0.001718108,0.002761488,0.002525367,0.008572807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1260874,"about_ca_system_score_gemma":0.3377212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955595,"about_ca_topic_score_gemma":0.9975901,"domain_scores_codex":[0.9957093,0.0002116885,0.0001144485,0.0002095573,0.002774197,0.0009808036],"domain_scores_gemma":[0.9931169,0.0001757343,0.0001550245,0.000172106,0.004741079,0.001639154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001830344,0.00002039704,0.002033051,0.0002419066,0.00001154445,0.00007457913,0.0005071642,0.0007775179,0.00008749712,0.02573902,0.9267567,0.04373229],"study_design_scores_gemma":[0.000009098048,0.000004441505,0.007302911,0.0001066192,0.000007917733,0.00001409986,0.0005813508,0.0002650184,0.00005055964,0.0009837243,0.9906437,0.00003053433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007777704,0.0107786,0.002409754,0.0699462,0.002669816,0.001331242,0.1100546,0.001185624,0.7938465],"genre_scores_gemma":[0.1129936,0.01987961,0.01817947,0.01012756,0.0005843091,0.001163807,0.108107,0.0006007743,0.7283638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1260874,"threshold_uncertainty_score":0.9148323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1391295825874605,"score_gpt":0.3345940989981069,"score_spread":0.1954645164106465,"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."}}