{"id":"W3149819935","doi":"","title":"An Economic Analysis of Generic Fluid Milk Advertising in Ontario, Quebec, the Maritime Provinces","year":2006,"lang":"en","type":"article","venue":"eCommons (Cornell University)","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advertising; Business; Geography","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":[0.0001500893,0.0001334938,0.0002369916,0.0006784599,0.0001327307,0.00008435566,0.0004131251,0.00007861159,0.0006532175],"category_scores_gemma":[0.000003014145,0.0001275591,0.0001327764,0.0009086151,0.00007412325,0.001004448,0.0001167412,0.0001594601,0.00003303718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217651,"about_ca_system_score_gemma":0.00008655014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8086452,"about_ca_topic_score_gemma":0.9241168,"domain_scores_codex":[0.9992505,0.0000269437,0.0002060659,0.0002592475,0.0000504024,0.0002068453],"domain_scores_gemma":[0.9994423,0.00003307585,0.0001650824,0.0003216963,0.00002695056,0.00001085721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003847525,0.0001502329,0.8348225,0.00001013491,0.0001342064,0.00007102462,0.00003492275,0.1542359,0.00007366212,0.007036364,0.003192364,0.0002001347],"study_design_scores_gemma":[0.0003839401,0.000008037469,0.9122339,0.00001208098,0.0004979715,5.642262e-7,0.0002519253,0.06339498,0.00004630024,0.001067253,0.02187611,0.0002268946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579487,0.00001058847,0.00006995544,0.0002667699,0.000081151,0.0000999521,0.000004087142,0.00003292738,0.0414859],"genre_scores_gemma":[0.9947681,7.43916e-7,0.00002615149,0.00006622576,0.0003385493,4.204443e-7,0.00005841377,0.000008739643,0.00473265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1154716,"threshold_uncertainty_score":0.7152273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550940651243921,"score_gpt":0.1692527819764577,"score_spread":0.1537433754640185,"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."}}