{"id":"W3210819722","doi":"10.32920/ryerson.14661486.v1","title":"Community design indicators and neighbourhood population health","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Stakeholder; Built environment; Urban design; Community health; Community design; Public health; Urban planning; Environmental planning; Environmental health; Geographic information system; Health indicator; Geography; Population; Environmental resource management; Business; Public relations; Computer science; Engineering; Political science; Medicine; Civil engineering; Environmental science; Cartography; Nursing","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":[0.006972553,0.0003364589,0.0003479487,0.006198333,0.0007698162,0.002704222,0.0003383963,0.0003632777,0.003519503],"category_scores_gemma":[0.0250254,0.0001658763,0.0003768457,0.008936794,0.001052002,0.001109648,0.002200297,0.000479028,0.0002729232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003238541,"about_ca_system_score_gemma":0.00505793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04392273,"about_ca_topic_score_gemma":0.07851704,"domain_scores_codex":[0.9936492,0.003356908,0.0003777227,0.0004120431,0.001991484,0.0002125698],"domain_scores_gemma":[0.9826857,0.007101663,0.003634103,0.0008933534,0.004957698,0.0007275282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001591724,0.0001557368,0.6594924,0.001217504,0.0004944311,0.0000830092,0.002933465,0.006871406,0.0001911439,0.03129069,0.01063008,0.286481],"study_design_scores_gemma":[0.00003614137,0.0002453208,0.8606302,0.001865682,0.0002483693,0.0001943505,0.006606991,0.005497256,0.0005604629,0.03531873,0.08871536,0.00008115337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7196095,0.03178215,0.0776285,0.008602886,0.0006017492,0.0006903938,0.01764877,0.0004540599,0.142982],"genre_scores_gemma":[0.9718781,0.002814815,0.01906133,0.0001316745,0.00006800736,0.0001788792,0.003367937,0.00003134131,0.002467869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04392273,"threshold_uncertainty_score":0.08733416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07536198631651142,"score_gpt":0.331387670659189,"score_spread":0.2560256843426776,"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."}}