{"id":"W2289457602","doi":"10.22004/ag.econ.231133","title":"The Competitive Position of Ontario’s White Table Wines","year":2016,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wine; Winemaking; White Wine; Market share; Competitor analysis; Business; Agricultural economics; Winery; Economics; Geography; Economy; Commerce; Marketing; 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":[0.0003838209,0.0002197758,0.0002850993,0.002042691,0.002517113,0.003327274,0.0005402245,0.0003050242,0.009361173],"category_scores_gemma":[0.00161999,0.0002320249,0.0003588192,0.005104023,0.0007334764,0.0007445726,0.0008190473,0.0003468587,0.0009107413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02995962,"about_ca_system_score_gemma":0.02033249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872362,"about_ca_topic_score_gemma":0.996287,"domain_scores_codex":[0.9990329,0.0000296973,0.00001916216,0.00009374828,0.0005426293,0.0002819002],"domain_scores_gemma":[0.9976089,0.0001780802,0.0003676974,0.000059639,0.001137176,0.0006485126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008616247,0.0001732029,0.8685244,0.0002791638,0.0001717378,0.001105494,0.01177955,0.0009610822,0.002515497,0.007950857,0.05857527,0.04710208],"study_design_scores_gemma":[0.00000973844,0.00004367068,0.9383709,0.00005090203,0.00002077054,0.00006655307,0.008809018,0.0005608587,0.000294691,0.0001485246,0.05158902,0.00003535538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139354,0.0006442776,0.0001440703,0.001146608,0.00003106962,0.00004405673,0.0130403,0.00002123432,0.07099294],"genre_scores_gemma":[0.9468092,0.000722377,0.0001748357,0.0001415732,0.00001675802,0.00001424664,0.007747372,0.00002498398,0.04434874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02995962,"threshold_uncertainty_score":0.2173733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228058043502483,"score_gpt":0.209537701721793,"score_spread":0.1867318973715447,"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."}}