{"id":"W7019583102","doi":"","title":"The Haíɫzaqv Language Mobilization Partnership: Collaboration &amp; Mobilization on BC’s Central Coast","year":2017,"lang":"en","type":"article","venue":"The COCOON platform (University of Paris)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BELLA; Documentation; Language revitalization; Interpretation (philosophy); Curriculum; Written language; On Language","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":[0.0007645678,0.0002166779,0.0001622702,0.0003401925,0.01009263,0.002661806,0.000694837,0.0009631811,0.04491454],"category_scores_gemma":[0.001394062,0.0001471859,0.00009529361,0.0004913187,0.001616491,0.0006476023,0.004015174,0.001739806,0.005042342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007013263,"about_ca_system_score_gemma":0.04372803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.40657,"about_ca_topic_score_gemma":0.7188047,"domain_scores_codex":[0.9991232,0.0001806333,0.00001286071,0.00007643567,0.0002189266,0.0003880388],"domain_scores_gemma":[0.9982601,0.00007450264,0.00003377532,0.00003693058,0.0003257461,0.001269034],"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":[0.0002777265,0.0002922653,0.01116093,0.0003768912,0.00001522227,0.003418393,0.04736218,0.0004211084,0.006636034,0.01948457,0.5853251,0.3252295],"study_design_scores_gemma":[0.00001724787,0.00004326045,0.01064924,0.0001260149,0.000002110445,0.0001433277,0.03144395,0.0001842198,0.0005597493,0.00100442,0.9558154,0.00001116459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2045949,0.00262428,0.001306904,0.06367536,0.002126132,0.0004545366,0.0009351762,0.0002343014,0.7240483],"genre_scores_gemma":[0.2047047,0.00102868,0.001648357,0.003313295,0.00007244186,0.0001898997,0.0002988653,0.0001183253,0.7886254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5934299,"threshold_uncertainty_score":0.8084071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0705340448402564,"score_gpt":0.3965605477537804,"score_spread":0.326026502913524,"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."}}