{"id":"W6926665920","doi":"10.25384/sage.21213761.v1","title":"Supplemental Material - Geographies of grocery shopping in major Canadian cities: Evidence from large-scale mobile app data","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile apps; Grocery shopping; Analytics; Grocery store; Smartphone app; Mobile device","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001059341,0.00006688801,0.0001005108,0.00001904281,0.0002390636,0.00004733118,0.0008098127,0.00002898842,0.5130509],"category_scores_gemma":[0.0001307032,0.00003488039,0.00003157309,0.0003953737,0.00001263032,0.0001581916,0.0007548656,0.0001174453,0.0000533977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003944607,"about_ca_system_score_gemma":0.00003884509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08004972,"about_ca_topic_score_gemma":0.474352,"domain_scores_codex":[0.9989918,0.00004977434,0.0001602724,0.0002666448,0.000229126,0.0003024144],"domain_scores_gemma":[0.9994534,0.0002272263,0.00004046234,0.0001260831,0.00002220534,0.0001306743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009036929,0.0002582123,0.02830681,0.0000773143,0.000030718,0.00002958563,0.0003710876,0.00001553994,0.08153379,0.00002246726,0.8762754,0.01298869],"study_design_scores_gemma":[0.0002320013,0.000231652,0.3061007,0.0003855505,0.000006190404,0.000002428663,0.006232335,0.000455969,0.001498194,0.0002037602,0.684333,0.0003182715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4218418,0.0001397377,1.808422e-8,0.0003165226,0.00001110056,0.000183917,0.5774457,0.0000101187,0.00005107363],"genre_scores_gemma":[0.7461789,0.00001124757,0.00001840404,0.00008003405,0.0000676245,0.0003892512,0.2532279,6.937175e-7,0.00002597385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5129975,"threshold_uncertainty_score":0.9260763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06997056375838817,"score_gpt":0.2858731840195849,"score_spread":0.2159026202611967,"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."}}