{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006933724,0.00009165546,0.0001726001,0.0002271694,0.008208951,0.0001092045,0.001508503,0.00004931402,0.001442417],"category_scores_gemma":[0.00006000705,0.0000834104,0.0002062542,0.001006085,0.001651082,0.0003461619,0.0002864051,0.001578087,0.00001630237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004736839,"about_ca_system_score_gemma":0.001937125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01792931,"about_ca_topic_score_gemma":0.02194843,"domain_scores_codex":[0.9948038,0.001958434,0.0001926346,0.0002204205,0.002183623,0.0006410176],"domain_scores_gemma":[0.9984706,0.0003856336,0.0001586951,0.000254793,0.0004480942,0.0002821909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001046307,0.001279139,0.4957967,0.00006406069,0.0004475975,0.001020137,0.4038804,0.0004036923,0.0008705926,0.01211059,0.04836598,0.03471478],"study_design_scores_gemma":[0.0008178261,0.0001868303,0.02858172,0.00001566168,0.00003316176,0.00001518494,0.7043681,0.00003092334,0.00003283156,0.0364517,0.2292811,0.0001850059],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246558,0.0001973437,0.0003118406,0.05529196,0.0002616717,0.0002701407,0.00002877066,0.00003420297,0.01894829],"genre_scores_gemma":[0.9870551,0.0001652373,0.0001205996,0.00003169054,0.0002093668,3.415976e-7,0.00000381039,0.000008218944,0.01240561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.467215,"threshold_uncertainty_score":0.9994704,"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."}}