{"id":"W6921104090","doi":"10.6084/m9.figshare.29288403","title":"Additional file 2 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001256581,0.0009328693,0.001125752,0.001710154,0.002662543,0.001464526,0.002791322,0.001234944,0.4786635],"category_scores_gemma":[0.01396677,0.0007687844,0.001585981,0.003839313,0.0004583276,0.001016271,0.000789331,0.001055755,0.02409782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005716687,"about_ca_system_score_gemma":0.01444764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9089988,"about_ca_topic_score_gemma":0.9251714,"domain_scores_codex":[0.9992645,0.0001358853,0.00006638689,0.0001649889,0.0001567237,0.0002114363],"domain_scores_gemma":[0.9910544,0.004180538,0.0006532999,0.0007373727,0.00260068,0.0007736949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000590339,0.0005015303,0.06844401,0.001205899,0.0002407647,0.0001007212,0.0004680001,0.001388315,0.0001411369,0.001193318,0.912585,0.01314093],"study_design_scores_gemma":[0.005964889,0.000523077,0.6788707,0.001709861,0.0007633351,0.0002532453,0.003193607,0.007080834,0.0007835127,0.002529367,0.2979835,0.0003441433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003955572,0.00002905784,0.0003329854,0.0001489609,0.00002813958,0.0002315709,0.9939294,0.0001242911,0.001220032],"genre_scores_gemma":[0.1108304,0.000206789,0.009622448,0.0006729122,0.0001097605,0.007486681,0.8368126,0.0003960269,0.03386243],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4786635,"threshold_uncertainty_score":0.7436233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134713373595595,"score_gpt":0.316001349719463,"score_spread":0.2846542159835071,"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."}}