{"id":"W2729481759","doi":"","title":"Métis and the Medicine Line: Creating a Border and Dividing a People by Michael Hogue (review)","year":2017,"lang":"en","type":"article","venue":"Native American and Indigenous Studies","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Line (geometry); Art history; Art; Genealogy; History; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0006550977,0.0001542468,0.0005308802,0.0000453867,0.004423586,0.00004680205,0.0001188813,0.000009653374,0.00003307407],"category_scores_gemma":[0.0007143333,0.00008134163,0.00001997238,0.00003162869,0.008975654,0.0001515408,0.0001262193,0.0001176056,0.000001154327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002012487,"about_ca_system_score_gemma":0.00002069558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008367992,"about_ca_topic_score_gemma":0.005556337,"domain_scores_codex":[0.9991308,0.00005053907,0.0001750518,0.0002243239,0.000184504,0.0002347477],"domain_scores_gemma":[0.9990821,0.000305607,0.0002724312,0.0001275789,0.000147813,0.00006448734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001793873,0.00001957559,0.001573276,0.0001729575,0.0001429694,0.000002798331,0.9183503,1.027611e-8,0.00002853297,0.002510069,0.01266772,0.06451384],"study_design_scores_gemma":[0.001936058,0.001120545,0.005444334,0.001280214,0.0002934933,0.00001940913,0.6158519,0.00002233924,0.0000121378,0.0003366322,0.3733453,0.0003376407],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.484275,0.4728201,0.0000111963,0.01618549,0.0001783737,0.000528136,0.00002784651,0.00002539737,0.02594841],"genre_scores_gemma":[0.7634858,0.2291004,0.00002162735,0.003167977,0.0002561832,0.00004009968,0.000002053763,0.000007960951,0.003917824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3606775,"threshold_uncertainty_score":0.9982353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687092011134865,"score_gpt":0.3333634357660632,"score_spread":0.2964925156547146,"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."}}