{"id":"W2068789480","doi":"10.1016/j.apgeog.2010.11.020","title":"Mapping spatial variation in food consumption","year":2010,"lang":"en","type":"article","venue":"Applied Geography","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Michael Smith Health Research BC; Public Health Agency of Canada","keywords":"Consumption (sociology); Geography; Spatial variability; Food consumption; Variation (astronomy); Population; Demography; Agricultural economics; Economics; Statistics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001548859,0.0001281007,0.0002123726,0.0002936622,0.00004715003,0.00001727435,0.00006409491,0.0001276424,0.0001068888],"category_scores_gemma":[0.00001688328,0.0001292416,0.00008408055,0.0003467656,0.00007098074,0.00006021433,0.00004196289,0.0004245546,0.0001074251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001303295,"about_ca_system_score_gemma":0.00001564195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001465307,"about_ca_topic_score_gemma":0.0002836007,"domain_scores_codex":[0.9990896,0.00001375715,0.000173298,0.0002761628,0.0002211069,0.0002260818],"domain_scores_gemma":[0.9994947,0.00006384546,0.00006807259,0.0002532338,0.00003242156,0.00008776772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005292636,0.002700953,0.8735012,0.00008753255,0.0000610936,0.000003466776,0.0001987802,0.000002339167,0.09891731,0.01431231,0.00002976857,0.01013226],"study_design_scores_gemma":[0.001173838,0.00008804646,0.9871026,0.00001324446,0.00002003936,0.000002384859,0.0000134765,0.0001082815,0.003248422,0.007553424,0.0005488133,0.0001274664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934242,0.000007758601,0.0005258622,0.0001442798,0.0001912893,0.0004501557,0.000004949569,0.0000947911,0.005156694],"genre_scores_gemma":[0.9986094,0.000004914769,0.0008301262,0.0001772842,0.0002655936,0.00006254757,0.00003046659,0.00001554291,0.000004166444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1136013,"threshold_uncertainty_score":0.5270319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084472167771934,"score_gpt":0.233591681214757,"score_spread":0.2227469595370377,"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."}}