{"id":"W2947007693","doi":"10.1123/jpah.2018-0364","title":"If You Make it Free, Will They Come? Using a Physical Activity Accessibility Model to Understand the Use of a Free Children’s Recreation Pass","year":2019,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Recreation; Psychological intervention; Intrapersonal communication; Population; Geography; Club; Geographic information system; Intervention (counseling); Logistic regression; Psychology; Interpersonal communication; Environmental health; Medicine; Social psychology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008782754,0.0004480014,0.0002196832,0.000635673,0.0003757376,0.001523205,0.0005232804,0.000502455,0.006218286],"category_scores_gemma":[0.002134233,0.0002073925,0.0008033672,0.0003554535,0.000928603,0.001804048,0.0007162757,0.0007938194,0.000387259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405283,"about_ca_system_score_gemma":0.001119005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328462,"about_ca_topic_score_gemma":0.01821296,"domain_scores_codex":[0.9994984,0.0002829165,0.00001551443,0.00008936079,0.00004638259,0.00006749065],"domain_scores_gemma":[0.9985973,0.0008437939,0.0003292074,0.00005324703,0.00007415963,0.0001023578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003035071,0.002193072,0.8679719,0.0002837755,0.000274313,0.0002561003,0.01482414,0.01203661,0.001165828,0.04414404,0.00203321,0.0545136],"study_design_scores_gemma":[0.0001701779,0.00146027,0.7804124,0.0005821717,0.0004195453,0.0003289976,0.02787317,0.131791,0.001108085,0.04036073,0.0154058,0.00008752431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696895,0.0001981621,0.01398415,0.001357735,0.00001746852,0.0001349711,0.0003022773,0.00003666554,0.01427909],"genre_scores_gemma":[0.9948034,0.0001007075,0.004114857,0.00004547158,0.000003941061,0.0001088801,0.00008343453,0.000003557621,0.0007357716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01328462,"threshold_uncertainty_score":0.02641457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287766398811325,"score_gpt":0.3833608791168296,"score_spread":0.2545842392356971,"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."}}