{"id":"W4327814330","doi":"10.1177/03611981231157396","title":"Analyzing the Behavior and Growth of Cycling in Four North American Cities Before, During, and After the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Mitacs; McGill University","keywords":"Recreation; Pandemic; Cycling; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Demography; Medicine; Sociology; Political science; Forestry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002941234,0.0002178246,0.0001835076,0.000746456,0.0006527478,0.0006955767,0.0003862865,0.0003377572,0.0008119796],"category_scores_gemma":[0.000946552,0.0001630901,0.0002319757,0.001554046,0.0002836953,0.0003257534,0.0004553276,0.0003224371,0.0001447631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326739,"about_ca_system_score_gemma":0.001476949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7462971,"about_ca_topic_score_gemma":0.8945884,"domain_scores_codex":[0.999835,0.00003074864,0.000007771516,0.00003975036,0.00003175286,0.00005497919],"domain_scores_gemma":[0.9994111,0.00008190035,0.0001258549,0.0000310219,0.000226127,0.0001240984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006228027,0.00004035754,0.9929703,0.00001421704,0.0000328525,0.00007007476,0.001072269,0.0006751243,0.000469127,0.00004163029,0.0004650106,0.004086721],"study_design_scores_gemma":[7.763998e-7,0.00001584473,0.9975346,0.000003997767,0.000004783341,0.000008190198,0.001416784,0.0006096814,0.00004344523,0.000006317919,0.0003526752,0.000002917265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989029,0.000036593,0.00004877948,0.00003084992,0.000002086834,0.000006981979,0.0006298681,0.000002060486,0.0003398975],"genre_scores_gemma":[0.997345,0.0001147117,0.0001462136,0.00001905238,0.0000040679,0.00001656754,0.001682749,0.000002360349,0.0006693076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7462971,"threshold_uncertainty_score":0.5103941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1033917192264244,"score_gpt":0.4155781569092719,"score_spread":0.3121864376828474,"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."}}