{"id":"W2943394786","doi":"","title":"Secondary data analysis of nutritional status of Canadians using the Canadian Community Health Survey and the Canadian Health Measures Survey","year":2014,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Community health; Environmental health; Survey data collection; General Social Survey; Gerontology; Public health; Geography; Medicine; Psychology; Statistics; Social psychology","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":[0.003766888,0.0007242596,0.001131,0.008432567,0.003190881,0.001402486,0.001511155,0.0003729213,0.006630206],"category_scores_gemma":[0.01323644,0.0004839284,0.001430336,0.01888367,0.0006917465,0.0002927207,0.001251747,0.0007729484,0.001191586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01701091,"about_ca_system_score_gemma":0.05162473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987409,"about_ca_topic_score_gemma":0.9866909,"domain_scores_codex":[0.9927031,0.000661307,0.0005120922,0.0007090128,0.004586399,0.0008282273],"domain_scores_gemma":[0.9879532,0.0006063285,0.001023507,0.0006003841,0.009351981,0.0004646622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000551932,0.0001870434,0.8374207,0.001602578,0.0009473697,0.0002201278,0.003387561,0.00188812,0.0009241072,0.003839197,0.08049075,0.06854049],"study_design_scores_gemma":[0.00004342947,0.00008819861,0.9718046,0.0001205288,0.0001016592,0.00004074645,0.001387088,0.0009477593,0.000373757,0.0001427965,0.02491191,0.00003754995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3442877,0.0009134628,0.005084998,0.0008541773,0.0001380922,0.006941956,0.6151858,0.0002499386,0.02634389],"genre_scores_gemma":[0.6252792,0.0017108,0.02108807,0.0007559542,0.00009221887,0.009890296,0.3165997,0.0001218915,0.02446189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01701091,"threshold_uncertainty_score":0.1234234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219814576362679,"score_gpt":0.3149879353617996,"score_spread":0.1930064777255317,"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."}}