{"id":"W3043797545","doi":"10.14288/cl.v0i237.191626","title":"Maria Campbell's Halfbreed. Reclaiming the Excised Passage","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blessing; Metis; Biography; Section (typography); History; Indigenous; Art history; Art; Genealogy; Archaeology; Computer science; World Wide Web; Biology","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":[0.003859194,0.0004827116,0.0003241526,0.001146265,0.01439418,0.007003431,0.001767261,0.005728723,0.009589831],"category_scores_gemma":[0.02744923,0.0004053668,0.0003125258,0.0009146777,0.01634981,0.005791429,0.00591185,0.00953297,0.003745474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006613131,"about_ca_system_score_gemma":0.008278457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450833,"about_ca_topic_score_gemma":0.03184178,"domain_scores_codex":[0.9944675,0.002523432,0.0002331801,0.0006043516,0.001747986,0.0004235242],"domain_scores_gemma":[0.9937519,0.003309069,0.0006286793,0.0006409798,0.001123698,0.0005455891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004686537,0.00001407441,0.0003351485,0.0002012076,0.000004156532,0.002180095,0.3083954,0.00004191932,0.001296513,0.2822162,0.3874073,0.01786103],"study_design_scores_gemma":[0.000002799299,0.000007254572,0.000201531,0.0002971274,0.000002290557,0.000601076,0.0322734,0.00002437075,0.0005221156,0.005111109,0.9609433,0.00001370327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04044089,0.02179401,0.007686154,0.3356214,0.02594691,0.0002912716,0.0003345623,0.0003562403,0.5675285],"genre_scores_gemma":[0.4802556,0.006002516,0.004506758,0.08577307,0.003689219,0.0004333816,0.0001340441,0.0008102767,0.4183951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9754916,"threshold_uncertainty_score":0.04873133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211664709535278,"score_gpt":0.3065166696044395,"score_spread":0.2844000225090867,"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."}}