{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001010238,0.0013227,0.001639523,0.0001827553,0.001446856,0.0001349081,0.001933151,0.0003425581,0.000114131],"category_scores_gemma":[0.000230704,0.0009742965,0.0002271885,0.0003655739,0.000635447,0.0009559572,0.001892398,0.003929457,0.0003563389],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01258694,"about_ca_system_score_gemma":0.003516889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8427369,"about_ca_topic_score_gemma":0.9225281,"domain_scores_codex":[0.9915076,0.0007265426,0.0004483632,0.002269123,0.003138592,0.001909781],"domain_scores_gemma":[0.9934984,0.0008903033,0.0008402143,0.003317787,0.00001177967,0.001441487],"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":[0.003086334,0.07031815,0.002791008,0.000842223,0.001451661,0.000231335,0.002531901,0.0006371931,0.1124646,0.00002772709,0.7786264,0.02699143],"study_design_scores_gemma":[0.008046594,0.001773256,0.2978261,0.001339043,0.002480013,0.0003082218,0.0004793851,0.08831611,0.02384002,0.00005983275,0.5705789,0.004952503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4717067,0.000005572495,0.00001070778,0.001192468,0.000151075,0.001709253,0.525206,0.000007878053,0.00001023123],"genre_scores_gemma":[0.5640367,0.000004798923,0.0000145377,0.0006334101,0.001081461,0.0001157113,0.434033,0.00006840451,0.0000119836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2950351,"threshold_uncertainty_score":0.9999524,"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."}}