{"id":"W4413429320","doi":"10.3390/su17177577","title":"Cycling and GHG Emissions: How Infrastructure Makes All the Difference","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Cycling; Greenhouse gas; Environmental science; Business; Green infrastructure; Natural resource economics; Environmental resource management; Economics; Geology; Geography; 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":[0.0007051219,0.0006459875,0.0005498152,0.0008392695,0.0006118279,0.0030324,0.0006836499,0.001901977,0.004713745],"category_scores_gemma":[0.002406534,0.0002724727,0.0006906301,0.001420409,0.002716852,0.003897393,0.001144348,0.001359502,0.0005311045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002295268,"about_ca_system_score_gemma":0.001916436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09467673,"about_ca_topic_score_gemma":0.09528247,"domain_scores_codex":[0.9992086,0.0002387381,0.00001812784,0.0001370582,0.0001806901,0.0002167947],"domain_scores_gemma":[0.9992957,0.0003186099,0.00008462596,0.00005383289,0.0001722201,0.00007503889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004463803,0.0004518246,0.2175767,0.001322931,0.001692021,0.0009546262,0.002103101,0.1273081,0.008289528,0.3181929,0.01586602,0.3057959],"study_design_scores_gemma":[0.00003628299,0.0003319614,0.2223439,0.001289094,0.0006537615,0.000426982,0.006789867,0.03959771,0.003256226,0.580959,0.1440526,0.0002625855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5224999,0.06942443,0.08182493,0.1229017,0.002071826,0.0001342472,0.002907536,0.0003842303,0.1978513],"genre_scores_gemma":[0.9727807,0.01302554,0.003969669,0.002645028,0.0003426141,0.00001957588,0.0003108436,0.00006961357,0.006836414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09467673,"threshold_uncertainty_score":0.1882513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000587031651088,"score_gpt":0.3118495982273805,"score_spread":0.3018437279108696,"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."}}