{"id":"W4388971221","doi":"10.3390/environments10120203","title":"Municipal Sustainability and Climate Planning: A Study of 38 Canadian Local Governments’ Plans and Reports","year":2023,"lang":"en","type":"article","venue":"Environments","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Government of Ontario","keywords":"Sustainability; Business; Descriptive statistics; Climate change; Sample (material); Plan (archaeology); Environmental planning; Sustainability reporting; Environmental resource management; Private sector; Geography; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005651089,0.0003278761,0.000492405,0.002983059,0.01074684,0.003680133,0.00136629,0.0004704395,0.003396624],"category_scores_gemma":[0.01534604,0.0007729764,0.000421825,0.009504737,0.002967637,0.001210682,0.002150444,0.0009344878,0.0003735883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05451416,"about_ca_system_score_gemma":0.06821288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9878896,"about_ca_topic_score_gemma":0.9952073,"domain_scores_codex":[0.995533,0.000752866,0.0002669991,0.0003514406,0.001944555,0.001151113],"domain_scores_gemma":[0.9860074,0.003595505,0.002411768,0.0006693825,0.005356275,0.001959721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009171932,0.0002198678,0.362504,0.000177682,0.00002785754,0.0008285341,0.6089582,0.0001325525,0.0005033122,0.0008908765,0.002791183,0.02287417],"study_design_scores_gemma":[0.000008635912,0.00007380861,0.401787,0.0000993445,0.00001875239,0.0001041799,0.5811899,0.0002451484,0.0001529879,0.00006110178,0.01621831,0.00004095069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954755,0.0001223627,0.00008121935,0.0003360851,0.000004882022,0.0001078351,0.0003139336,0.000006200994,0.003552075],"genre_scores_gemma":[0.9950798,0.000421002,0.0003534322,0.0001846261,0.000004940616,0.0001042532,0.0003458827,0.0000144776,0.003491641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05451416,"threshold_uncertainty_score":0.3955298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009847299053011519,"score_gpt":0.2346147743448973,"score_spread":0.2247674752918858,"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."}}