{"id":"W4252897464","doi":"10.1037/e507502013-048","title":"Novel National Data on Physical Activity Promoting Environments in Canada: Using the Physical Activity Neighbourhood Environmental Scale to Look at Physical Activity Promoting Environments Within the Canadian Context","year":2012,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Physical Activity and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Physical activity; Scale (ratio); Context (archaeology); Geography; Environmental resource management; Environmental science; Cartography; Medicine; Mathematics","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":[0.0008948931,0.001971674,0.001540068,0.005947781,0.002321574,0.002459522,0.003908388,0.001836825,0.009669431],"category_scores_gemma":[0.007032514,0.0007994327,0.002246028,0.01842829,0.0006810192,0.0007998949,0.002250587,0.002268983,0.006388632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02064128,"about_ca_system_score_gemma":0.04092438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871704,"about_ca_topic_score_gemma":0.9936965,"domain_scores_codex":[0.9986774,0.00008794438,0.0001255583,0.0002775503,0.0004795594,0.0003518698],"domain_scores_gemma":[0.9954378,0.0004279032,0.0003231961,0.0004431851,0.00266294,0.0007049133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00018214,0.00006662744,0.01919582,0.0008471671,0.0002203257,0.00009737814,0.0001762466,0.001369758,0.0001406417,0.0008518616,0.9682735,0.008578642],"study_design_scores_gemma":[0.0004322804,0.00002828307,0.2397941,0.001028305,0.0003396619,0.0001570045,0.0009480561,0.003457951,0.000559887,0.001172313,0.7518885,0.0001935444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00128932,0.0002255841,0.00005275796,0.0001581545,0.00001946043,0.00001736201,0.9976373,0.0000923417,0.0005077149],"genre_scores_gemma":[0.003591624,0.0002487857,0.0003679649,0.00007536944,0.000007404942,0.00009252484,0.9946824,0.00002329618,0.0009106584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02064128,"threshold_uncertainty_score":0.1497637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07776379453970847,"score_gpt":0.3307000489675564,"score_spread":0.252936254427848,"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."}}