{"id":"W7005603098","doi":"","title":"The RISE scorecard—a new tool to incentivize provision of bluegreen\\ninfrastructure on private developments","year":2022,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balanced scorecard; Greenhouse gas; Incentive; Green infrastructure; Climate change; Urban planning; Carbon footprint; Climate change mitigation","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":[0.009362474,0.0008429512,0.0005041201,0.003316867,0.0006013947,0.002718542,0.0007272003,0.0007889234,0.01608558],"category_scores_gemma":[0.0260477,0.000246534,0.0003936493,0.002284525,0.0009451484,0.003167536,0.001877591,0.001077927,0.002541927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268348,"about_ca_system_score_gemma":0.001982962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004117837,"about_ca_topic_score_gemma":0.008847343,"domain_scores_codex":[0.992734,0.003373576,0.0005887873,0.0006813564,0.00228,0.0003422855],"domain_scores_gemma":[0.984104,0.007904571,0.002240581,0.001548129,0.002772903,0.001429775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00117341,0.001755784,0.06569672,0.0003646184,0.0001634406,0.000181703,0.001045594,0.01598543,0.005809193,0.08936632,0.08309545,0.7353623],"study_design_scores_gemma":[0.0008888756,0.003138394,0.1539111,0.000489063,0.0001579459,0.0002578813,0.002040999,0.3077494,0.02111197,0.0843197,0.4253564,0.0005783502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3634038,0.0004147878,0.310475,0.005706864,0.0007938227,0.004442436,0.01393442,0.01921537,0.2816136],"genre_scores_gemma":[0.7424315,0.0002392024,0.2239676,0.0005899893,0.0001060273,0.001814743,0.004201075,0.000559133,0.02609079],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01608558,"threshold_uncertainty_score":0.05381155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725803021751205,"score_gpt":0.1802517044201278,"score_spread":0.1629936742026157,"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."}}