{"id":"W4409279919","doi":"10.1016/j.biopsych.2025.02.112","title":"Speech Spectrograms to Measure the Severity of Psychomotor Poverty in Psychosis","year":2025,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Psychosis; Spectrogram; Psychomotor learning; Psychology; Measure (data warehouse); Psychomotor disorder; Poverty; Audiology; Psychiatry; Medicine; Cognition; Speech recognition; Computer science; Political science","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":[0.0005214571,0.0003311703,0.0002273969,0.001083081,0.0002678825,0.0004839152,0.0001268599,0.0004045827,0.002436368],"category_scores_gemma":[0.003261006,0.0001046633,0.0001782167,0.0004788192,0.0002298825,0.0003190022,0.0004558399,0.0005344872,0.0003001507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002893705,"about_ca_system_score_gemma":0.0002277791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804016,"about_ca_topic_score_gemma":0.004584068,"domain_scores_codex":[0.9996544,0.0001229059,0.00003437072,0.00002585324,0.0001258935,0.0000366589],"domain_scores_gemma":[0.9986309,0.0005042558,0.0003675806,0.00003700452,0.000307624,0.0001525944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002960137,0.001689794,0.6532959,0.0005704403,0.0003911186,0.0008353585,0.002555355,0.00160885,0.05703084,0.0005620767,0.003142467,0.2753576],"study_design_scores_gemma":[0.0000401926,0.001485418,0.9881371,0.00008148309,0.00007209054,0.0007455958,0.001656462,0.001885042,0.004501396,0.0003663847,0.001003242,0.00002562366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910642,0.0004346408,0.001815188,0.0002017827,0.00004837528,0.0001199489,0.0003915888,0.00004939356,0.005874999],"genre_scores_gemma":[0.9959961,0.0003889736,0.002219483,0.0001116408,0.00001867826,0.00008150475,0.0001251052,0.000009115724,0.0010494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002436368,"threshold_uncertainty_score":0.008150458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0431460133127436,"score_gpt":0.3779685818433229,"score_spread":0.3348225685305793,"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."}}