{"id":"W6922190647","doi":"10.11575/prism/37900","title":"Associations between the traditional and novel neighbourhood built environment metrics and weight status among Canadian men and women.","year":2020,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"Public Administration and Political Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Walkability; Odds; Geocoding; Overweight; Built environment; Population; Space syntax","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001764845,0.00009166823,0.0002094708,0.0001744609,0.0004273021,0.00004174146,0.0001234856,0.0001747924,0.001892714],"category_scores_gemma":[0.00006657073,0.00009332668,0.0000346925,0.000157423,0.0005912324,0.00008036202,0.00003635932,0.0001508466,0.000003280249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776375,"about_ca_system_score_gemma":0.0003101121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.317832,"about_ca_topic_score_gemma":0.04508049,"domain_scores_codex":[0.9991582,0.00007884525,0.00007836178,0.0001776345,0.0002733137,0.0002336442],"domain_scores_gemma":[0.9990121,0.0001638108,0.0001189027,0.00006583663,0.00001101227,0.0006283922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009231001,0.0001674873,0.2217059,0.00005685815,0.0019806,0.00002436273,0.03957089,8.344039e-8,0.000002816969,0.4873542,0.1959619,0.05316562],"study_design_scores_gemma":[0.0002423601,0.00002479427,0.3804318,0.000004925448,0.000166169,1.211529e-7,0.001081415,0.0002065067,1.222799e-7,0.001724522,0.6159779,0.0001393207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003683222,0.0002769432,0.007343495,0.01606075,0.00002838974,0.0002565874,0.000403075,0.00002741735,0.9719201],"genre_scores_gemma":[0.6065091,0.004952855,0.006701522,0.000857447,0.0004022008,0.000003079631,0.0006680902,0.00009934877,0.3798063],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6028259,"threshold_uncertainty_score":0.9990197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119020097641682,"score_gpt":0.2124265514586624,"score_spread":0.1912363504822456,"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."}}