{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002270208,0.0003746497,0.00101597,0.0008829593,0.00009000843,0.0001721728,0.0009100029,0.000372403,0.002207864],"category_scores_gemma":[0.001054626,0.0004887134,0.0001380038,0.0003141781,0.0001521678,0.0002078548,0.0007993371,0.001510038,0.00003974487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416885,"about_ca_system_score_gemma":0.001115344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5083678,"about_ca_topic_score_gemma":0.5562038,"domain_scores_codex":[0.9959902,0.0001842634,0.001339297,0.00146571,0.0001168168,0.0009037239],"domain_scores_gemma":[0.9972113,0.000792971,0.0004628807,0.001095887,0.00005355478,0.0003834007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005098746,0.000357498,0.9278942,0.0008222298,0.000599467,0.0001772957,0.00262831,0.003365276,0.00003103636,0.008674598,0.002353679,0.0525865],"study_design_scores_gemma":[0.001480044,0.00006746174,0.8966771,0.001558768,0.00002350503,0.000008094755,0.001837509,0.01734449,0.00009603719,0.04322087,0.03583097,0.001855135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134313,0.01441313,0.00006753372,0.003466765,0.0006742202,0.0008184968,0.0003573675,0.00003899899,0.1667322],"genre_scores_gemma":[0.9356997,0.05715782,0.000888198,0.0004541385,0.0002528995,0.0001021396,0.00007842398,0.00006602756,0.005300678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1614315,"threshold_uncertainty_score":0.9997565,"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."}}