{"id":"W1500004103","doi":"","title":"The American Indian Oral History Manual: Making Many Voices Heard by Charles E. Trimble et al.","year":2009,"lang":"en","type":"article","venue":"Oral History Forum d'histoire orale","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Winnipeg","funders":"","keywords":"Oral history; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006772573,0.0003918609,0.0002593179,0.004288314,0.01200702,0.009105149,0.001376856,0.001970144,0.02456908],"category_scores_gemma":[0.01749926,0.0004523016,0.00020885,0.003675981,0.00468531,0.006098961,0.004093579,0.004195453,0.01114246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003238936,"about_ca_system_score_gemma":0.01117091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0566001,"about_ca_topic_score_gemma":0.1647998,"domain_scores_codex":[0.9960252,0.001158615,0.0001738316,0.0001879077,0.002103204,0.0003512564],"domain_scores_gemma":[0.9882219,0.004365257,0.0003949789,0.0006390838,0.004953017,0.001425659],"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":[0.000008646117,0.00001187451,0.0003892824,0.00006356478,9.966431e-7,0.00005997384,0.007833904,0.00001723311,0.0001688408,0.00755779,0.8800306,0.1038573],"study_design_scores_gemma":[0.000001031359,0.00000202687,0.0007868856,0.0001364784,0.000002146202,0.00006879925,0.01159616,0.00002622963,0.00009527284,0.001321577,0.9859533,0.00001006388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.005385616,0.02758837,0.006498511,0.4149632,0.03527366,0.0002118984,0.0008802825,0.001525179,0.5076733],"genre_scores_gemma":[0.07599439,0.04368558,0.01872951,0.07032522,0.01641453,0.0005390174,0.001023279,0.002488561,0.7708],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0566001,"threshold_uncertainty_score":0.1125413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283152125066605,"score_gpt":0.2599368438957107,"score_spread":0.2316216313890502,"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."}}