{"id":"W6921042777","doi":"10.6084/m9.figshare.5691727","title":"MOESM2 of Cohort profile: the Saskatchewan Rural Health Studyâ adult component","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohort; Component (thermodynamics); Table (database); Rural population; Cohort study; Rural health; Rural area","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002456157,0.001134345,0.00130793,0.002916048,0.001285343,0.001317193,0.002054708,0.0007815429,0.410663],"category_scores_gemma":[0.02593528,0.0006992958,0.001270895,0.007240715,0.000304985,0.001202578,0.001396362,0.001251396,0.05047663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455598,"about_ca_system_score_gemma":0.004411487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1079467,"about_ca_topic_score_gemma":0.1422189,"domain_scores_codex":[0.9984756,0.0003513072,0.0003275817,0.0003316224,0.0001908686,0.0003230103],"domain_scores_gemma":[0.9917554,0.003121241,0.001084956,0.001227421,0.002266673,0.0005443691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006557511,0.00008140076,0.06209333,0.001184288,0.0002590834,0.00007262603,0.0001465701,0.0002820013,0.00009825382,0.0006147735,0.9291971,0.005314926],"study_design_scores_gemma":[0.00682917,0.0004036791,0.57673,0.004722919,0.00125432,0.0005697355,0.002336992,0.003217169,0.001103226,0.005621222,0.3969488,0.0002627657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00178109,0.00002541388,0.0001942619,0.00007863746,0.00002732313,0.0001652176,0.9968002,0.00007033773,0.0008574678],"genre_scores_gemma":[0.03776063,0.0002116411,0.002379887,0.0005413917,0.00008770837,0.005828708,0.9374697,0.0004579193,0.01526237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8920534,"threshold_uncertainty_score":0.8406177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05352177125424951,"score_gpt":0.3730584990108085,"score_spread":0.319536727756559,"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."}}