{"id":"W3084182907","doi":"10.32866/001c.16710","title":"Comparing Spatial Associations of Commuting versus Recreational Ridership Captured by the Strava Fitness App","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Recreation; Transport engineering; Geography; Intersection (aeronautics); Crash; Computer science; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004530279,0.00006722989,0.0001398251,0.00001236037,0.0005705795,0.00005501765,0.000311759,0.00006846298,0.0002607681],"category_scores_gemma":[0.0003676447,0.0000587397,0.00006307807,0.0002262384,0.0001903643,0.0001356338,0.00002053244,0.0001769965,0.000005950951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006120172,"about_ca_system_score_gemma":0.00009385197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009747855,"about_ca_topic_score_gemma":0.00635223,"domain_scores_codex":[0.9990457,0.00008960195,0.000208389,0.0001340686,0.0003422069,0.0001800891],"domain_scores_gemma":[0.9992952,0.000359567,0.0001369249,0.00007485155,0.00006775007,0.00006570567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004301884,0.00002945011,0.9628502,0.00001054321,0.00003327055,2.106455e-7,0.03082004,0.00003384697,0.0002383764,0.002061416,0.003627213,0.0002523906],"study_design_scores_gemma":[0.000884378,0.00003507121,0.9826018,0.00002340475,0.00006198341,1.849073e-8,0.009225007,0.0004857967,0.001078822,0.0003814299,0.005050173,0.0001720757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823694,0.00005404864,0.0003425913,0.0039661,0.000176495,0.0001567138,0.00007864135,0.00004353448,0.01281253],"genre_scores_gemma":[0.9994552,0.000001818847,0.00003432242,0.00007511167,0.0001911841,0.000003838929,0.000107534,0.000004993328,0.000125966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02159503,"threshold_uncertainty_score":0.9968463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272168875313776,"score_gpt":0.3252368517460423,"score_spread":0.1980199642146647,"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."}}