{"id":"W1723437112","doi":"10.1080/13504851.2015.1042133","title":"The market structure–performance relationship applied to the Canadian wine industry","year":2015,"lang":"en","type":"article","venue":"Applied Economics Letters","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reputation; Market power; Econometrics; Market structure; Wine; Economics; Efficient-market hypothesis; Regression analysis; Business; Marketing; Industrial organization; Statistics; Mathematics; Microeconomics; Geography; Stock market; Political science; Food science","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":[0.001553258,0.000282274,0.0003307185,0.004032769,0.001373302,0.001584352,0.0005250766,0.0002450606,0.003577038],"category_scores_gemma":[0.00817441,0.0001300407,0.0004917341,0.006227147,0.0009266938,0.0007057139,0.0007345399,0.0004958783,0.0002539692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01082571,"about_ca_system_score_gemma":0.01230178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9343324,"about_ca_topic_score_gemma":0.9550306,"domain_scores_codex":[0.9986505,0.0001565814,0.00004796564,0.000127965,0.0007629871,0.0002540785],"domain_scores_gemma":[0.9909244,0.002550431,0.001636119,0.0003818355,0.003757955,0.0007492618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008411078,0.00006301661,0.9718761,0.00004658302,0.0001243786,0.0001410022,0.0007227254,0.003263316,0.0005824619,0.002812991,0.001315985,0.01896729],"study_design_scores_gemma":[0.000003385668,0.00002349595,0.99557,0.000007170604,0.00001600866,0.00001717393,0.0003977461,0.002444877,0.0001442148,0.0001783458,0.001189064,0.000008567934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832398,0.0003159428,0.001007937,0.0002779263,0.00001099732,0.00003674638,0.001755256,0.00003071774,0.01332467],"genre_scores_gemma":[0.9980762,0.00008233031,0.0003636632,0.00001360793,0.0000053993,0.000006983269,0.000604454,0.00000576656,0.000841675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06566763,"threshold_uncertainty_score":0.1321087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046031110562539,"score_gpt":0.1822988179013744,"score_spread":0.161838506795749,"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."}}