{"id":"W2135451267","doi":"","title":"Price Cycles and Price Leadership in Gasoline Markets: New Evidence from Canada","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Economics; Gasoline; Mid price; Price formation; Monetary economics; Price level; Business; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006356818,0.0002181821,0.000375894,0.001920899,0.001565017,0.001966655,0.0007791441,0.0003497692,0.002654433],"category_scores_gemma":[0.004065333,0.0002773331,0.0003966127,0.006651955,0.001083218,0.0007643962,0.0008396227,0.0005847675,0.0002035065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01303758,"about_ca_system_score_gemma":0.01701683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932581,"about_ca_topic_score_gemma":0.9972081,"domain_scores_codex":[0.9994158,0.0000341542,0.00002845158,0.00009069623,0.0002562037,0.0001747281],"domain_scores_gemma":[0.9942264,0.0008346455,0.001554966,0.0002484057,0.002455664,0.0006799366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001572331,0.00004383985,0.9780023,0.00006127159,0.0001123813,0.0002262896,0.001885763,0.001048549,0.0003280522,0.001383719,0.003751041,0.01299961],"study_design_scores_gemma":[0.0000121951,0.00001382036,0.9913114,0.00002564063,0.00004480928,0.00003116254,0.001939037,0.001240012,0.0001830353,0.0001701189,0.005005728,0.00002310619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987555,0.0008788584,0.0002992336,0.0005675608,0.000007705661,0.00002135289,0.004176235,0.00001364087,0.006480444],"genre_scores_gemma":[0.9945177,0.0006850663,0.0001671913,0.00007679109,0.00000719017,0.000004302131,0.002693642,0.000009082147,0.001838918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303758,"threshold_uncertainty_score":0.09459466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497181753084821,"score_gpt":0.2841916124082783,"score_spread":0.1344734370997963,"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."}}