{"id":"W2414591649","doi":"10.17269/cjph.107.5310","title":"Exploring experiences of the food environment among immigrants living in the Region of Waterloo, Ontario","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Immigration; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003182233,0.0000913856,0.0002827844,0.0003143312,0.0006319057,0.000007659765,0.0005070614,0.00007712999,0.0002518163],"category_scores_gemma":[0.0004835947,0.00004692434,0.00008593451,0.0002339498,0.0002119402,0.000428542,0.00003176657,0.0004977414,0.000002742403],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058369,"about_ca_system_score_gemma":0.006458252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4515226,"about_ca_topic_score_gemma":0.9419976,"domain_scores_codex":[0.9966531,0.001167415,0.001105013,0.0001038797,0.0003253506,0.0006452205],"domain_scores_gemma":[0.9976885,0.0004235923,0.0009525788,0.0002869528,0.0001002553,0.0005480862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002334024,0.00001795788,0.5080284,0.00005727509,0.000007277124,0.000002143811,0.4889063,0.00000240564,0.000001073364,0.001064736,0.0003743409,0.001535688],"study_design_scores_gemma":[0.0002429108,0.0002107711,0.7786074,0.0009660748,0.00000312268,0.000006418503,0.2125994,0.000001370916,0.000002766374,0.0001318148,0.007183725,0.00004433629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809631,0.0002211232,0.0000414465,0.01750813,0.0007449259,0.0003625898,0.000008627931,0.00000158672,0.0001484373],"genre_scores_gemma":[0.9989635,0.000154162,0.00003662081,0.0005794765,0.00009669694,0.00003211769,3.627066e-7,0.000007307443,0.0001297692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.490475,"threshold_uncertainty_score":0.9991742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4131587803255466,"score_gpt":0.3559626351667891,"score_spread":0.05719614515875754,"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."}}