{"id":"W2513722095","doi":"","title":"Ultrasound overlay videos and their application in Indigenous language learning and revitalization","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health","keywords":"Pronunciation; Computer science; Indigenous; Visualization; Resource (disambiguation); Context (archaeology); Multimedia; Linguistics; Artificial intelligence; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001112616,0.000582446,0.0001813788,0.001267747,0.0002989769,0.0009733458,0.0007836519,0.000813864,0.01265457],"category_scores_gemma":[0.005859952,0.0001940092,0.0003263051,0.0005167839,0.0003847251,0.001066236,0.001374282,0.0004974007,0.000960914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003922317,"about_ca_system_score_gemma":0.0005427051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179262,"about_ca_topic_score_gemma":0.00272858,"domain_scores_codex":[0.9996064,0.0001686051,0.00002149043,0.00004879466,0.000112956,0.00004179974],"domain_scores_gemma":[0.9967063,0.002374602,0.0001232327,0.0001801165,0.0003338052,0.0002819833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007158536,0.0006747181,0.004929136,0.001587714,0.00004366167,0.002181064,0.004327315,0.008308504,0.09943602,0.004443552,0.0157522,0.8576002],"study_design_scores_gemma":[0.0006610044,0.008164128,0.05267315,0.002440725,0.0003991355,0.009393056,0.009535153,0.1117411,0.2408535,0.01377145,0.5498199,0.0005476776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4643537,0.005379319,0.4490627,0.002912092,0.0008681988,0.003644262,0.003397419,0.01594465,0.05443757],"genre_scores_gemma":[0.5220792,0.004390046,0.4547957,0.0006079089,0.0003666895,0.001708816,0.001403081,0.0008302389,0.01381841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9982074,"threshold_uncertainty_score":0.04233378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008097971748472037,"score_gpt":0.279918783597945,"score_spread":0.2718208118494729,"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."}}