{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005709072,0.0001839076,0.000123764,0.0001150246,0.000815633,0.000538745,0.0005612396,0.0001883333,0.00008374723],"category_scores_gemma":[0.0000329832,0.0001329066,0.00002753139,0.0002400575,0.00007885745,0.0002550326,0.0001191246,0.0006413883,0.0005811502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755866,"about_ca_system_score_gemma":0.00009506079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005478399,"about_ca_topic_score_gemma":0.01380103,"domain_scores_codex":[0.9989815,0.000005176125,0.0002462767,0.000246982,0.00008952694,0.0004304953],"domain_scores_gemma":[0.9992517,0.00006562252,0.0001325778,0.0004555344,0.00002360646,0.00007098636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004538659,0.000003894585,0.0121622,0.000006508876,0.00003130508,0.000001370233,0.00007203652,0.01961243,0.00002176235,0.0242394,0.9418561,0.001947615],"study_design_scores_gemma":[0.0003390193,0.000001715253,0.064271,0.000003326363,0.00002071382,0.00000262748,0.0001755693,0.0006526204,0.00003917348,0.00223715,0.9320046,0.0002524544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.760762,0.000002399746,0.00001070155,0.1262453,0.0005310792,0.0003717949,0.000005199778,0.00003827376,0.1120332],"genre_scores_gemma":[0.952576,2.409769e-7,0.00005965482,0.03906006,0.00776185,0.00005469444,0.00002526799,0.00002920053,0.0004330667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.191814,"threshold_uncertainty_score":0.8281738,"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."}}