{"id":"W1549233975","doi":"","title":"An Index for Quantifying Tongue Curvature","year":2013,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curvature; Tongue; Metric (unit); Mathematics; Acoustics; Geometry; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001414031,0.0001173404,0.000133689,0.0001935195,0.0001698805,0.00007594526,0.0003411654,0.0003148931,0.002483748],"category_scores_gemma":[0.00007632112,0.000121072,0.00003639383,0.0001522387,0.00009025656,0.00005409184,0.00001236386,0.0003188344,0.0005325923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007888451,"about_ca_system_score_gemma":0.0003077794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1095284,"about_ca_topic_score_gemma":0.04870766,"domain_scores_codex":[0.9987919,0.00004141091,0.0001366504,0.0002602215,0.00007353479,0.0006963352],"domain_scores_gemma":[0.9985896,0.0001038286,0.00002926564,0.0004444208,0.0001790525,0.0006537752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000477756,0.0001459241,0.04178263,0.00006747478,0.0002293841,0.0001144357,0.006466006,0.0003055949,0.05888154,0.01261437,0.8408682,0.03847665],"study_design_scores_gemma":[0.0007132509,0.0002615832,0.9454622,0.00001100428,0.00003035734,0.00002909135,0.001077217,0.01309037,0.00006226538,0.005041864,0.0338142,0.0004066478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808652,0.0003596909,0.00640818,0.00147211,0.002013197,0.0007987182,0.0003383038,0.00005337704,0.007691256],"genre_scores_gemma":[0.9949976,0.000006017369,0.0005910026,0.001410877,0.0003314598,0.0001170129,0.00007504552,0.00003584527,0.002435164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9036795,"threshold_uncertainty_score":0.9984281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06474614328167601,"score_gpt":0.3771450564637573,"score_spread":0.3123989131820813,"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."}}