{"id":"W2169784988","doi":"10.1007/s10842-013-0167-8","title":"Regional Patterns in Gasoline Station Rationalization in Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Industry Competition and Trade","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rationalization (economics); Full service; Gasoline; Automotive industry; Business; Refinery; Panel data; Environmental science; Econometrics; Economics; Engineering; Environmental engineering; Commerce; Microeconomics; Waste management","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":[0.0008526905,0.0001874979,0.0004156104,0.002512539,0.002093614,0.002561637,0.001168726,0.0006806465,0.005346546],"category_scores_gemma":[0.004253947,0.0003445361,0.0005399107,0.005583231,0.001336788,0.0005881868,0.001054239,0.0008037197,0.0003200446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03474385,"about_ca_system_score_gemma":0.0280486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942296,"about_ca_topic_score_gemma":0.9979286,"domain_scores_codex":[0.9990236,0.00006314031,0.00005364129,0.0001765004,0.0002317197,0.0004514313],"domain_scores_gemma":[0.9935586,0.0008424488,0.001333609,0.0002087066,0.003201501,0.0008551913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003025771,0.00005479619,0.9686612,0.00005795331,0.0001501272,0.0003042545,0.004616259,0.00298371,0.001085325,0.005182943,0.003362552,0.01323823],"study_design_scores_gemma":[0.000008472313,0.00001049968,0.9922437,0.00002548555,0.00002311915,0.00003329005,0.003129787,0.001341306,0.0001851661,0.0001279843,0.002848078,0.00002306172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926716,0.0006003223,0.0001416715,0.0006225842,0.000005161257,0.00001729036,0.001562988,0.00001758581,0.004360812],"genre_scores_gemma":[0.9969851,0.000212916,0.00009228063,0.00003567119,0.000002272173,0.000002742521,0.0006006522,0.000006678643,0.002061638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03474385,"threshold_uncertainty_score":0.2520854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679895670747477,"score_gpt":0.2014333724267773,"score_spread":0.1746344157193025,"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."}}