{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016691,0.00007123114,0.00008664034,0.0001498002,0.00007283952,0.00001913376,0.00005726118,0.0001169248,0.00008432528],"category_scores_gemma":[0.0001258368,0.00005633067,0.000006424174,0.0001085816,0.00008570453,0.00002418181,0.0000119153,0.0001166788,0.00002642601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007722863,"about_ca_system_score_gemma":0.00007516493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02100216,"about_ca_topic_score_gemma":0.03059029,"domain_scores_codex":[0.9993787,0.00005862457,0.0000937955,0.0001758693,0.00003306334,0.0002599256],"domain_scores_gemma":[0.9994785,0.0001923877,0.00002753892,0.0001172425,0.00002332955,0.0001609945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002534417,0.00003121986,0.3887052,0.00004270591,0.00004390915,0.00006865041,0.04152483,0.00001262329,0.3846192,0.001128379,0.002102275,0.1816956],"study_design_scores_gemma":[0.0004989878,0.0000768455,0.9903017,0.00003014012,0.000007873989,0.00009092138,0.001478127,0.0001171819,0.0001760786,0.0009467165,0.006094974,0.0001805087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947628,0.001255895,0.002427961,0.0002510588,0.0000580376,0.0001875041,0.00004989035,0.00001215259,0.0009946811],"genre_scores_gemma":[0.9985012,0.0002750194,0.00002568847,0.0001163498,0.00004341734,0.00001815491,0.00001578148,0.00001377893,0.000990551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6015965,"threshold_uncertainty_score":0.9870989,"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."}}