{"id":"W4411986089","doi":"10.1044/2025_ajslp-24-00308","title":"Quantification of Meta-Therapy in Conversation Training Therapy","year":2025,"lang":"en","type":"article","venue":"American Journal of Speech-Language Pathology","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-Montréal; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Modalities; Conversation; Operationalization; Voice therapy; Modality (human–computer interaction); Reliability (semiconductor); Psychology; Computer science; Medical physics; Medicine; Physical therapy; Artificial intelligence; Communication","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05906552,0.001011712,0.0009137492,0.008220295,0.003215324,0.006659733,0.001766427,0.001056015,0.003135114],"category_scores_gemma":[0.1862071,0.0007140239,0.001243449,0.005110075,0.004676841,0.006430689,0.01172793,0.001578091,0.0003470221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005385265,"about_ca_system_score_gemma":0.003393739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001837154,"about_ca_topic_score_gemma":0.003422247,"domain_scores_codex":[0.9154589,0.05512244,0.005938116,0.006596582,0.01598943,0.0008944368],"domain_scores_gemma":[0.7388433,0.2031042,0.02346039,0.01451257,0.01833527,0.001744251],"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":[0.0006414352,0.0002079833,0.1507147,0.0084734,0.0009797126,0.0004574308,0.3451206,0.003168959,0.01379156,0.0282483,0.002495675,0.4457002],"study_design_scores_gemma":[0.0001078534,0.001073407,0.5623751,0.008863126,0.0018238,0.002946922,0.1953107,0.03846143,0.02768416,0.05676679,0.1039026,0.0006841297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6055423,0.007459118,0.3305947,0.00147182,0.0002968697,0.00188272,0.001307926,0.0007413744,0.05070322],"genre_scores_gemma":[0.918498,0.0007014226,0.07728574,0.0001285285,0.00004380485,0.001475077,0.0004208604,0.0001423365,0.001304263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05906552,"threshold_uncertainty_score":0.3123721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04595792796754512,"score_gpt":0.3442193672585046,"score_spread":0.2982614392909595,"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."}}