{"id":"W2070740088","doi":"10.1016/j.oos.2009.06.379","title":"P1.93. Dynamic magnetic resonance imaging and videofluoroscopy of partial glossectomies’ speech","year":2009,"lang":"en","type":"article","venue":"Oral Oncology Supplement","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Magnetic resonance imaging; Nuclear magnetic resonance; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005873393,0.0002037914,0.0004391815,0.0001521164,0.00009949252,0.00001663611,0.0002899779,0.0001598775,0.00665067],"category_scores_gemma":[0.00002646494,0.0001985776,0.00006085083,0.0001927998,0.0004023802,0.00004936912,0.0001257732,0.0003214444,0.00006615739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228861,"about_ca_system_score_gemma":0.0001125186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004435376,"about_ca_topic_score_gemma":0.0003126509,"domain_scores_codex":[0.9978493,0.0002839271,0.0004784469,0.0004873555,0.000194715,0.0007061989],"domain_scores_gemma":[0.9991109,0.0001423177,0.0001194147,0.0004177,0.00006705728,0.0001426025],"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":[0.00173963,0.001305077,0.09365542,0.00002346654,0.00006604534,0.0006031871,0.003927682,0.000001779101,0.05972283,0.005469451,0.06485858,0.7686269],"study_design_scores_gemma":[0.006144661,0.00645437,0.6471835,0.00002770752,0.00007938074,0.0002535538,0.0006512009,0.000597797,0.00920889,0.007369777,0.3215952,0.0004339381],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726702,0.008899514,0.0001181468,0.01179087,0.0007785332,0.000596926,0.0001389088,0.00004306188,0.004963816],"genre_scores_gemma":[0.9942289,0.0002657594,0.003485953,0.0007897295,0.00007158438,0.00004818993,0.00003961647,0.00001734587,0.001052919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7681929,"threshold_uncertainty_score":0.9942574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200320291147091,"score_gpt":0.3821911254209637,"score_spread":0.3621590963062546,"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."}}