{"id":"W4396760868","doi":"10.1080/1573062x.2024.2351856","title":"Increasing knowledge and trust to overcome barriers to green infrastructure implementation: a Vancouver case study","year":2024,"lang":"en","type":"article","venue":"Urban Water Journal","topic":"Noise Effects and Management","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Green infrastructure; Business; Environmental planning; Transport engineering; Environmental science; Engineering","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":[0.003315311,0.0003797471,0.0004749036,0.00127912,0.02226782,0.004884629,0.001837895,0.002292866,0.003631924],"category_scores_gemma":[0.008428768,0.0006034163,0.0002140128,0.002234575,0.004762081,0.00157158,0.004795155,0.002771447,0.0003394228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02353254,"about_ca_system_score_gemma":0.02932054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7600335,"about_ca_topic_score_gemma":0.9069111,"domain_scores_codex":[0.9960723,0.001720839,0.0001170568,0.0002382208,0.0007722529,0.001079338],"domain_scores_gemma":[0.9911736,0.003461476,0.0004785415,0.0003758374,0.002152843,0.002357814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001349677,0.0009963887,0.06474567,0.0003160352,0.00002682346,0.0280001,0.8361452,0.0006918815,0.001585794,0.007045177,0.006082644,0.05422932],"study_design_scores_gemma":[0.00002302261,0.0001997752,0.0191374,0.0001939443,0.00001755873,0.001978909,0.9517998,0.0005815796,0.0003716657,0.0006239355,0.02502686,0.00004561831],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797507,0.0002370062,0.0004183603,0.002668092,0.00002361665,0.0001600106,0.00003492795,0.000007778272,0.01669955],"genre_scores_gemma":[0.990898,0.0006429336,0.0007396874,0.0004160147,0.000007938685,0.00007493939,0.00002730674,0.000009171672,0.007184125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2399665,"threshold_uncertainty_score":0.4827594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870345815290143,"score_gpt":0.3895365015771761,"score_spread":0.3708330434242746,"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."}}