{"id":"W2625838435","doi":"10.1111/tgis.12276","title":"The interaction between individual, social and environmental factors and their influence on dietary intake among adults in Toronto","year":2017,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Socioeconomic status; Environmental health; Metropolitan area; Geography; Psychology; Medicine; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001084759,0.0001526926,0.0002131095,0.00004056103,0.0004184271,0.00005991138,0.0001002821,0.0000913711,0.00002416487],"category_scores_gemma":[0.00001929139,0.000108457,0.00003965706,0.00002817967,0.0003394098,0.0005416413,0.00002301392,0.0003970288,0.000001367457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201631,"about_ca_system_score_gemma":0.000008191295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007085804,"about_ca_topic_score_gemma":0.02250825,"domain_scores_codex":[0.9992497,0.00005054364,0.0001635936,0.0002303424,0.0001358955,0.0001699572],"domain_scores_gemma":[0.9994516,0.0002024822,0.00007252294,0.0002055113,0.000005023439,0.00006290824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000802039,0.0006192966,0.9596211,0.00001682869,0.00004430986,0.000001987524,0.003392946,0.00000297528,0.0002107159,0.000005234386,0.000002472184,0.03600192],"study_design_scores_gemma":[0.0007040499,0.0002148324,0.9935944,0.00007528103,0.00003275579,0.000001244697,0.004250532,0.00007296144,0.0008146216,0.00008390888,0.00005533642,0.0001000605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989878,0.00003282344,0.000006536963,0.0002813458,0.00006731835,0.000267567,0.00005926743,0.00001482952,0.0002825109],"genre_scores_gemma":[0.9996843,0.0001585887,0.000005886941,0.00002044669,0.0000586708,0.00002192197,0.00001539429,0.00001239267,0.00002241996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03590186,"threshold_uncertainty_score":0.9995261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562005917825856,"score_gpt":0.2888210141257362,"score_spread":0.2632009549474777,"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."}}