{"id":"W2097220562","doi":"10.1017/s1742170514000234","title":"Understanding consumer choices for Ontario produce","year":2014,"lang":"en","type":"article","venue":"Renewable Agriculture and Food Systems","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michael Smith Health Research BC; University of Guelph; Wilfrid Laurier University; Dalhousie University","funders":"","keywords":"Schema (genetic algorithms); Marketing; Perception; Business; Context (archaeology); Psychology; Advertising; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005619951,0.0001665798,0.0001259999,0.000528529,0.001608692,0.001998375,0.0003225912,0.0003231252,0.008375042],"category_scores_gemma":[0.001574359,0.0001726153,0.0002767678,0.0008015946,0.0009205819,0.0009702103,0.0006788595,0.0002698309,0.0002841479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01292536,"about_ca_system_score_gemma":0.005814756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8664021,"about_ca_topic_score_gemma":0.9411584,"domain_scores_codex":[0.999739,0.00004608297,0.000008688205,0.0000419459,0.00009632694,0.00006799238],"domain_scores_gemma":[0.9992367,0.0002440364,0.0001669716,0.00002942766,0.0001907443,0.0001320966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370231,0.0001317053,0.8600333,0.000137631,0.00004382026,0.0005569902,0.09040049,0.0006456224,0.001477372,0.006662416,0.003200164,0.03657334],"study_design_scores_gemma":[0.00001295616,0.00005753976,0.8826708,0.0001204165,0.0000267525,0.00006751451,0.09025045,0.001141439,0.0002247176,0.001728997,0.02367328,0.00002517858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750119,0.0001794087,0.0002871614,0.0006290516,0.000003703334,0.00002739922,0.0003195672,0.000004019234,0.02353768],"genre_scores_gemma":[0.996576,0.0002101215,0.0002247659,0.00004916406,0.000001545915,0.00001163074,0.0001371887,0.000001739488,0.002787835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1335979,"threshold_uncertainty_score":0.2687692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04954128243406601,"score_gpt":0.1974192962130688,"score_spread":0.1478780137790028,"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."}}