{"id":"W2608642965","doi":"10.3138/cmlr.3549","title":"Breathing Life into New Speakers: Nsyilxcn and Tlingit Sequenced Curriculum, Direct Acquisition, and Assessments","year":2017,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Curriculum; Task (project management); Indigenous language; Process (computing); Endangered species; Linguistics; Critically endangered; Computer science; Psychology; Pedagogy; Sociology; Engineering; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006525738,0.0003477305,0.0003038351,0.0008832411,0.003862218,0.002127279,0.001351611,0.0006921336,0.004060581],"category_scores_gemma":[0.007419026,0.000179224,0.0001987244,0.001049397,0.001721451,0.001647225,0.00376418,0.001447261,0.0003204767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0160304,"about_ca_system_score_gemma":0.05961714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3984275,"about_ca_topic_score_gemma":0.7351249,"domain_scores_codex":[0.9973381,0.0009995236,0.0001423402,0.0001968813,0.0009316034,0.0003915337],"domain_scores_gemma":[0.9973911,0.0005912748,0.0001630492,0.00009818734,0.001095514,0.000660823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004184739,0.001197826,0.03094669,0.002500355,0.0000235741,0.0011895,0.1470824,0.0004523537,0.002866541,0.02414972,0.03991752,0.749255],"study_design_scores_gemma":[0.00025097,0.002070135,0.1863716,0.003234293,0.0001050781,0.0008497977,0.2370067,0.0004986507,0.00448856,0.004246765,0.5607423,0.0001352128],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7396611,0.02255076,0.004299289,0.02089964,0.001292603,0.003681297,0.0006205615,0.0002399225,0.2067548],"genre_scores_gemma":[0.9023975,0.01658746,0.02197622,0.003075335,0.0001206306,0.001904121,0.0008358663,0.00005195174,0.05305101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6015725,"threshold_uncertainty_score":0.7922168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813589983103503,"score_gpt":0.3885852414233576,"score_spread":0.3504493415923225,"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."}}