{"id":"W2916020653","doi":"10.3233/sji-180467","title":"Indigenous identification: Past, present and a possible future","year":2019,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Indigenous; Identification (biology); Environmental planning; Geography; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.01734983,0.0004392907,0.0008512712,0.001817749,0.005432784,0.008008466,0.00199096,0.005627089,0.007684418],"category_scores_gemma":[0.01132485,0.000361471,0.0006877715,0.003117201,0.01035709,0.01979528,0.005729777,0.006981873,0.000896083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005488934,"about_ca_system_score_gemma":0.0122144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009653717,"about_ca_topic_score_gemma":0.01925876,"domain_scores_codex":[0.9946818,0.002547908,0.0003283071,0.0005464716,0.0008697949,0.001025743],"domain_scores_gemma":[0.9910409,0.004411854,0.0009818332,0.0005156352,0.001501484,0.001548325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001079724,0.0001743311,0.008171953,0.00579281,0.00007394585,0.0006562683,0.02268024,0.0002990967,0.0004582153,0.3227225,0.06394012,0.5749224],"study_design_scores_gemma":[0.00001129571,0.0002421683,0.01758868,0.01329353,0.00008812173,0.002297958,0.1271414,0.0008167081,0.0003732546,0.1709497,0.667038,0.0001592346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00894676,0.4559381,0.004149847,0.4929923,0.008742905,0.00002526825,0.0001061249,0.00007043895,0.0290282],"genre_scores_gemma":[0.2639215,0.664593,0.009636614,0.03532248,0.01414457,0.0001661833,0.0001989204,0.0000639104,0.0119527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01734983,"threshold_uncertainty_score":0.09175581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715460592388939,"score_gpt":0.3577605974063924,"score_spread":0.340605991482503,"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."}}