{"id":"W4390738809","doi":"10.21203/rs.3.rs-3798128/v1","title":"HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Université de Montréal; University of Saskatchewan; University of British Columbia; University of Toronto; Saskatchewan Health; University of Victoria; Carleton University; McGill University Health Centre","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Environmental justice; Geospatial analysis; Public health; Equity (law); Built environment; Geography; Environmental planning; Health equity; Environmental health; Environmental resource management; Business; Political science; Medicine; Cartography","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":[0.003009044,0.00140646,0.0006615253,0.006661645,0.00255667,0.004002391,0.00249049,0.0007458313,0.03108364],"category_scores_gemma":[0.01325618,0.0008759199,0.0009875721,0.007882668,0.0006205669,0.00305865,0.005188913,0.001025194,0.004693249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01022382,"about_ca_system_score_gemma":0.02626737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8585849,"about_ca_topic_score_gemma":0.9342246,"domain_scores_codex":[0.9986961,0.0002450898,0.0001038141,0.0002390587,0.00050219,0.0002137475],"domain_scores_gemma":[0.9924461,0.002629241,0.0003580277,0.0007713996,0.002604653,0.001190521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003573401,0.0001958293,0.03861467,0.001443845,0.0001574377,0.0004607932,0.006609326,0.006570205,0.001253657,0.01037845,0.7074006,0.2265578],"study_design_scores_gemma":[0.0003040654,0.00006151162,0.05579905,0.001360684,0.0001345326,0.0002106903,0.005834885,0.03620866,0.002602239,0.01099618,0.885895,0.000592396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.05854962,0.001371803,0.1066683,0.007577589,0.0005488563,0.003462247,0.5769162,0.1188368,0.1260686],"genre_scores_gemma":[0.2246224,0.002077165,0.477639,0.001412932,0.0001338322,0.005165537,0.2458003,0.01114495,0.03200402],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1414151,"threshold_uncertainty_score":0.2844958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.293759421183492,"score_gpt":0.4610757554217099,"score_spread":0.1673163342382179,"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."}}