{"id":"W4288763072","doi":"10.2196/39613","title":"Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents: Protocol for a Statistical and Machine Learning Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novo Nordisk Fonden; Novo Nordisk","keywords":"Logistic regression; Obsessive compulsive; Psychology; Clinical psychology; Machine learning; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574301,0.0002175083,0.0005405303,0.0004768211,0.0007861098,0.0001064476,0.0003371869,0.0001043094,0.0001804651],"category_scores_gemma":[0.0004916379,0.0001766724,0.00007556838,0.001140374,0.0006056922,0.00009599931,0.0006442547,0.001414938,9.459517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100213,"about_ca_system_score_gemma":0.00008728495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118318,"about_ca_topic_score_gemma":0.0003392403,"domain_scores_codex":[0.9952607,0.002435544,0.0004528561,0.0006524607,0.0005936695,0.0006047447],"domain_scores_gemma":[0.9979383,0.001212851,0.0002652757,0.0002950988,0.0001597506,0.0001286949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007059578,0.0005448565,0.9852936,0.0001146958,0.0003142499,0.00000325347,0.001350623,0.00002882936,0.000006126138,0.001232715,0.0003797406,0.01002537],"study_design_scores_gemma":[0.005719265,0.0009701381,0.9893361,0.00009549586,0.00003113578,0.000005252014,0.0006924343,0.0003517872,0.000004936306,0.001691252,0.0009224546,0.000179743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.04921687,0.0000150318,0.0005347875,0.0006149415,0.000002320045,0.9484105,0.001097276,0.00002443523,0.00008391266],"genre_scores_gemma":[0.2273611,2.53789e-7,0.000147569,0.00001937164,0.00002651352,0.772235,0.0001169114,0.00002461354,0.00006865898],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1781442,"threshold_uncertainty_score":0.720449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05684897075451307,"score_gpt":0.4744033270292097,"score_spread":0.4175543562746967,"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."}}