{"id":"W2110147507","doi":"10.22004/ag.econ.45739","title":"Profiling Consumer Trend-setters in the Canadian Healthy-foods Market","year":2004,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Marketing; Consumer demand; Healthy food; Profiling (computer programming); Food products; Advertising; Economics; 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":[0.0007668533,0.0001287333,0.0002732492,0.0003942919,0.0002798561,0.00001818136,0.0002694394,0.0001028104,0.00060271],"category_scores_gemma":[0.00002912302,0.0001265204,0.0001007889,0.000443463,0.0002454169,0.0001296136,0.00005069431,0.0004208506,0.0000522845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002884117,"about_ca_system_score_gemma":0.0007376169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1905777,"about_ca_topic_score_gemma":0.7443005,"domain_scores_codex":[0.9986411,0.0001076866,0.0001566865,0.0002753486,0.0003261829,0.0004930073],"domain_scores_gemma":[0.9991494,0.0001069243,0.00004986811,0.0003343599,0.00007108551,0.0002884059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002069239,0.001064907,0.8527915,0.001512808,0.001308441,0.006353987,0.03505661,0.0001678674,0.003516502,0.006079112,0.009743176,0.08033581],"study_design_scores_gemma":[0.01236347,0.001153005,0.9063231,0.0005480839,0.0004640019,0.0003559887,0.02257209,0.0007196839,0.0003036782,0.000108943,0.05443071,0.0006571854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690142,0.0005675937,0.00002563188,0.02077229,0.00005764522,0.0004499,0.00004381807,0.00001328542,0.009055632],"genre_scores_gemma":[0.9970214,0.0001720922,0.001402388,0.000963853,0.00002159586,7.595929e-7,0.00003126594,0.00001074939,0.0003758656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5537228,"threshold_uncertainty_score":0.8148123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0404408629916451,"score_gpt":0.2786007316906656,"score_spread":0.2381598686990205,"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."}}