{"id":"W4410775246","doi":"10.1016/j.jad.2025.119529","title":"The semi-structured interview for bipolar at-risk states (SIBARS): psychometric properties and validation","year":2025,"lang":"en","type":"article","venue":"Journal of Affective Disorders","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"Wellcome Trust; McGill University; World Health Organization","keywords":"Psychology; Psychometrics; Bipolar disorder; Clinical psychology; Mini-international neuropsychiatric interview; Psychiatry; Mood; Anxiety","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008446884,0.0005372152,0.0006637577,0.001638958,0.0004839305,0.0005744942,0.0006226805,0.0002913348,0.001652544],"category_scores_gemma":[0.01273918,0.000270407,0.000467424,0.001275416,0.0003894546,0.0003516751,0.0009768984,0.0006367748,0.0006745144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006009429,"about_ca_system_score_gemma":0.001823048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522264,"about_ca_topic_score_gemma":0.008657513,"domain_scores_codex":[0.9945906,0.003213046,0.0008576502,0.0002620035,0.0009463109,0.0001303546],"domain_scores_gemma":[0.991185,0.003017423,0.002201523,0.0005914352,0.002485754,0.0005189439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002800704,0.001301904,0.4715858,0.003451084,0.0005178215,0.0007964941,0.01022631,0.002213041,0.01126291,0.003824871,0.03176247,0.4602565],"study_design_scores_gemma":[0.0003489642,0.00145031,0.9573145,0.001585147,0.0001298117,0.001731503,0.003753084,0.00263137,0.001454794,0.004400713,0.02509539,0.0001044407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597956,0.006357753,0.05382104,0.001816584,0.0005352894,0.0373745,0.0175935,0.0004642068,0.0222415],"genre_scores_gemma":[0.7630684,0.006671132,0.1393038,0.001099531,0.0002993034,0.05951181,0.02505879,0.00006897634,0.004918303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008446884,"threshold_uncertainty_score":0.04467195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485803891697931,"score_gpt":0.279347866449447,"score_spread":0.2644898275324677,"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."}}