{"id":"W4324025886","doi":"10.2196/preprints.47153","title":"Large-scale characterization of co-purchased food products with soda, fruits, and vegetables: association rule mining on longitudinal loyalty card grocery purchasing data in Montréal, Canada. (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Confidence interval; Food products; Environmental health; Business; Advertising; Agricultural science; Geography; Medicine; Food science; Marketing; Biology","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":[0.0009939986,0.0004486704,0.0005529454,0.002074697,0.0007222335,0.001047665,0.001667576,0.0004532507,0.00211936],"category_scores_gemma":[0.003418215,0.0003220933,0.0008072316,0.006331408,0.0004075193,0.0003170514,0.0006896066,0.0006120694,0.0005490983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007531453,"about_ca_system_score_gemma":0.01120822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869753,"about_ca_topic_score_gemma":0.989336,"domain_scores_codex":[0.9994286,0.00007057507,0.00004557173,0.0001737173,0.0001526452,0.0001288444],"domain_scores_gemma":[0.9973286,0.0005167447,0.0004984598,0.000161921,0.00118248,0.0003116504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001900896,0.00004670388,0.9659936,0.0002159885,0.0003988481,0.0003098182,0.0003557969,0.001679237,0.0007995013,0.0001591142,0.01362118,0.01623012],"study_design_scores_gemma":[0.00001364367,0.00001615067,0.9917538,0.00005124827,0.00009403033,0.00005105159,0.0004957066,0.003926384,0.0002150878,0.00004840659,0.003314208,0.00002014702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933283,0.001885259,0.002896504,0.0008500141,0.00003771755,0.0001195954,0.1992053,0.0002419605,0.001435181],"genre_scores_gemma":[0.8702043,0.0009236859,0.00558778,0.0002114944,0.00002459172,0.0001160926,0.1202688,0.00005402236,0.00260926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302469,"threshold_uncertainty_score":0.05464476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04192881859105144,"score_gpt":0.270843368863993,"score_spread":0.2289145502729416,"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."}}