{"id":"W4296007541","doi":"10.32396/usurj.v8i1.548","title":"Pedal Past the Pumps","year":2022,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cycling; Recreation; Gasoline; Regression analysis; Price elasticity of demand; Linear regression; Econometrics; Lag; Demographic economics; Economics; Environmental science; Transport engineering; Statistics; Engineering; Mathematics; Geography; Computer science; Waste management; Microeconomics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00036206,0.0006604575,0.0006275211,0.001272836,0.001203113,0.002753736,0.0009033349,0.000940321,0.1558957],"category_scores_gemma":[0.002438069,0.0004024666,0.0004484036,0.001267292,0.0005182099,0.001960714,0.001562374,0.0008740429,0.05379654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106944,"about_ca_system_score_gemma":0.001008729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00472348,"about_ca_topic_score_gemma":0.005870178,"domain_scores_codex":[0.9993446,0.00006205402,0.00003512904,0.000138993,0.0003141057,0.0001049906],"domain_scores_gemma":[0.9993648,0.00009312056,0.00006781206,0.0001135703,0.0002790093,0.00008177348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001955759,0.0004617478,0.02597146,0.001035023,0.00009678389,0.001045372,0.001093299,0.003938805,0.01336157,0.02660174,0.1238403,0.8005981],"study_design_scores_gemma":[0.0001104575,0.0008396523,0.04855864,0.0005642193,0.0001220282,0.001072662,0.001508222,0.004953519,0.005852942,0.00425513,0.9320551,0.0001073636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1294827,0.00415449,0.04161795,0.003456215,0.004057166,0.000532569,0.008364503,0.00600272,0.8023317],"genre_scores_gemma":[0.510748,0.003168721,0.01352187,0.001446948,0.0003121897,0.0001971374,0.003063501,0.0008978352,0.4666439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952765,"threshold_uncertainty_score":0.5215231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899792750394131,"score_gpt":0.3158194702075498,"score_spread":0.2668215427036085,"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."}}