{"id":"W6920881801","doi":"10.6084/m9.figshare.14355421.v1","title":"Additional file 1 of Health measures of Eeyouch (Cree) who are eligible to participate in the on-the-land Income Security Program in Eeyou Istchee (northern Quebec, Canada)","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Queen's University; University of Toronto","funders":"","keywords":"Payment; Confidentiality; Social security; MEDLINE; Health insurance; Data collection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001200241,0.0005953427,0.0008333626,0.002063089,0.002019364,0.0009988378,0.001432136,0.0007080386,0.7506641],"category_scores_gemma":[0.01783122,0.0004174533,0.0004700206,0.005072513,0.0002828171,0.001060637,0.0008416253,0.000887934,0.08297116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004840241,"about_ca_system_score_gemma":0.009855298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6004817,"about_ca_topic_score_gemma":0.701742,"domain_scores_codex":[0.9993062,0.0001155103,0.00009256659,0.000119308,0.0001749498,0.0001913785],"domain_scores_gemma":[0.9874743,0.004228898,0.0009390621,0.0005552633,0.00595962,0.000842905],"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":[0.00006329811,0.00005148736,0.002485251,0.0003266934,0.000007359419,0.0000169822,0.0000548307,0.00007794091,0.00001049121,0.0003585359,0.9930936,0.003453559],"study_design_scores_gemma":[0.002242956,0.0001483022,0.09866233,0.002701886,0.00007894481,0.0001914624,0.001663703,0.0008467544,0.0002868715,0.002732461,0.8903475,0.00009690729],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000270134,0.00001387904,0.000067225,0.000125295,0.00001406309,0.0001726101,0.9960145,0.00004353945,0.003278773],"genre_scores_gemma":[0.01378017,0.0002145396,0.001442085,0.0007029064,0.00008778428,0.00378305,0.93887,0.0001638416,0.04095562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7506641,"threshold_uncertainty_score":0.8037422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2471228797514793,"score_gpt":0.4490273770707512,"score_spread":0.2019044973192719,"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."}}