{"id":"W6984911219","doi":"","title":"xwi’xwi’em’:","year":2016,"lang":"en","type":"other","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storytelling; Indigenous; First language; Identity (music); Indigenous language; Language revitalization; Construct (python library); Traditional knowledge; Speech community","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":[0.000352645,0.0002613619,0.0001748348,0.0003989116,0.01673169,0.002829368,0.0007332482,0.0008039997,0.01779464],"category_scores_gemma":[0.0006337862,0.0001656071,0.0001302787,0.0007294752,0.003116922,0.001487823,0.002222371,0.001326289,0.001169223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01127519,"about_ca_system_score_gemma":0.01255573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8928683,"about_ca_topic_score_gemma":0.9644765,"domain_scores_codex":[0.9996309,0.00005876767,0.000006029883,0.00004232194,0.00007893632,0.0001829908],"domain_scores_gemma":[0.9997906,0.00001943509,0.00001510332,0.000007565935,0.0000687022,0.00009866622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009920039,0.00008242422,0.03521071,0.0002057292,0.00001334968,0.005394335,0.8171513,0.000130691,0.003383482,0.02092534,0.04408057,0.07332296],"study_design_scores_gemma":[0.000002703465,0.00003022776,0.02836705,0.00009803523,0.00001020052,0.0007775803,0.7242032,0.0001174274,0.0007914884,0.0006688904,0.2449076,0.0000255952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7960728,0.001314167,0.0009946815,0.01057715,0.0002326233,0.00008728585,0.000407436,0.000113038,0.1902007],"genre_scores_gemma":[0.8026574,0.001007448,0.001079925,0.001206361,0.00001382522,0.00004836053,0.0002101984,0.00005279721,0.1937238],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8928683,"threshold_uncertainty_score":0.2155252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849137858231991,"score_gpt":0.2792518279866045,"score_spread":0.2607604494042846,"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."}}