{"id":"W4210755045","doi":"10.32920/19067645","title":"Opportunities and barriers to sustainable urban development: an analysis of the Toronto Green Standard (Version 3)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Incentive; Sustainability; Sustainable development; Context (archaeology); Business; Environmental economics; Normative; Urban planning; Environmental planning; Regional science; Economics; Engineering; Political science; Geography; Civil engineering; Microeconomics","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":[0.0008362357,0.0001731263,0.0001684029,0.001234736,0.001376225,0.001949127,0.0004184565,0.000297695,0.004044922],"category_scores_gemma":[0.003072728,0.0001239323,0.0003426859,0.003166272,0.001804673,0.0009986736,0.001886517,0.0005318089,0.0001350615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02653159,"about_ca_system_score_gemma":0.01853129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7392163,"about_ca_topic_score_gemma":0.8640363,"domain_scores_codex":[0.9989447,0.0001556971,0.00002954745,0.00006632206,0.0004615158,0.0003422302],"domain_scores_gemma":[0.9976473,0.0007299726,0.0004900098,0.00009466346,0.0006558091,0.0003823089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002563004,0.0001098224,0.675833,0.0004072728,0.00008301875,0.001027401,0.05926774,0.0143143,0.001323292,0.1979801,0.01259966,0.03679807],"study_design_scores_gemma":[0.000006301892,0.00003929011,0.9192056,0.0001297561,0.00002911734,0.00006313776,0.04095018,0.003726618,0.0003037215,0.004872284,0.03064323,0.00003070443],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535111,0.0003763735,0.001043138,0.00112452,0.000007855519,0.00009538164,0.001746215,0.00001320002,0.04208211],"genre_scores_gemma":[0.9970703,0.0001552467,0.0003292128,0.00002245566,0.000001484906,0.00002842479,0.0003525383,0.000005985964,0.002034271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2607837,"threshold_uncertainty_score":0.5246389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533385528485292,"score_gpt":0.2432086714277676,"score_spread":0.2278748161429147,"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."}}