{"id":"W3197931499","doi":"","title":"Convergence in retail gasoline prices: Insights from Canadian cities","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gasoline; Convergence (economics); Divergence (linguistics); Economics; Panel data; Quality (philosophy); Sample (material); Econometrics; Business; Agricultural economics; Economic geography; Macroeconomics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009655015,0.0003043027,0.0006873862,0.004738336,0.002385244,0.002391488,0.0009758831,0.0003931143,0.001946712],"category_scores_gemma":[0.005328474,0.0002856358,0.0005868048,0.01203079,0.0008833804,0.0007907976,0.001613491,0.000662765,0.0002124161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01632397,"about_ca_system_score_gemma":0.01094405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900033,"about_ca_topic_score_gemma":0.9920331,"domain_scores_codex":[0.9988245,0.00009701113,0.00004442268,0.0001828981,0.0004540093,0.0003971399],"domain_scores_gemma":[0.996698,0.0004075555,0.0004703173,0.0002344217,0.001867048,0.0003226638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002964745,0.00008128431,0.9537347,0.0001071443,0.0001464044,0.0006356165,0.008186709,0.005253831,0.0004949658,0.004364144,0.005734267,0.02096445],"study_design_scores_gemma":[0.000009134571,0.00001462713,0.984286,0.00003626418,0.00003354873,0.00005164847,0.006717235,0.003697373,0.0001578268,0.000381565,0.004582554,0.00003218102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878927,0.0004553364,0.0002976576,0.0002802935,0.000005899997,0.00002487585,0.004742135,0.0000145472,0.006286614],"genre_scores_gemma":[0.9944055,0.0003472766,0.000193005,0.00003670587,0.000004019088,0.000007000323,0.004066817,0.000008589613,0.0009309907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01632397,"threshold_uncertainty_score":0.1184393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735802071786386,"score_gpt":0.2630896644209213,"score_spread":0.2357316437030574,"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."}}