{"id":"W3048979592","doi":"10.1080/01441647.2020.1806943","title":"Crowdsourced data for bicycling research and practice","year":2020,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University; University of Victoria","funders":"Michael Smith Health Research BC; Public Health Agency of Canada; Canada Research Chairs; Arizona State University","keywords":"Crowdsourcing; Transport engineering; Global Positioning System; TRIPS architecture; Citizen science; Traffic congestion; Social media; Open data; Poison control; Computer science; Data science; Engineering; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1261653,0.001593641,0.002606584,0.01252819,0.004694636,0.01411059,0.006814209,0.005662896,0.01966314],"category_scores_gemma":[0.3440813,0.001262791,0.00338766,0.01542438,0.009129786,0.0152404,0.02065524,0.00513033,0.007635201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006780571,"about_ca_system_score_gemma":0.02566093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207343,"about_ca_topic_score_gemma":0.01769275,"domain_scores_codex":[0.8783307,0.08137888,0.01042068,0.008898268,0.01941586,0.001555572],"domain_scores_gemma":[0.5407481,0.323633,0.01410939,0.06355132,0.05476999,0.003188363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003554852,0.0001845489,0.01074112,0.04575492,0.001043757,0.0004194999,0.0386017,0.004959155,0.000952924,0.1000289,0.1920949,0.6048631],"study_design_scores_gemma":[0.0001636159,0.0001397144,0.007125765,0.06518442,0.00033778,0.0001612458,0.0201921,0.001597275,0.0008208631,0.1040825,0.7999747,0.0002202221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02465223,0.156024,0.2821778,0.2091918,0.01549579,0.01295013,0.06894802,0.003919358,0.2266408],"genre_scores_gemma":[0.2931954,0.1389624,0.4006431,0.05155967,0.006913433,0.03834772,0.04495987,0.003303778,0.02211463],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1261653,"threshold_uncertainty_score":0.6672337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5969151889843052,"score_gpt":0.5377930415823721,"score_spread":0.05912214740193311,"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."}}