{"id":"W3028343310","doi":"10.1093/schbul/sbaa031.171","title":"S105. DIGITAL BIOMARKERS FOR THE ASSESSMENT OF COGNITIVE, BEHAVIORAL AND FUNCTIONAL OUTCOMES IN INDIVIDUALS WITH SCHIZOPHRENIA","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Workflow; Context (archaeology); Leverage (statistics); Analytics; Data collection; Data science; Machine learning; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002350845,0.000248103,0.0003573619,0.000127639,0.0001150318,0.00009985695,0.0001848685,0.00008917094,0.0006524566],"category_scores_gemma":[0.00009362442,0.0001789475,0.0001331691,0.0002417712,0.0003118417,0.0001139064,0.0001202556,0.0002441773,0.000065265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003274467,"about_ca_system_score_gemma":0.00007920142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005462452,"about_ca_topic_score_gemma":0.00004356552,"domain_scores_codex":[0.9982554,0.00007230906,0.000567306,0.0004553548,0.0003007976,0.0003488236],"domain_scores_gemma":[0.9986052,0.0007352294,0.0002351188,0.0001838771,0.00007523589,0.0001653575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009732723,0.003043518,0.8636611,0.0002013631,0.001094617,0.00002709147,0.0008029934,0.000008591428,0.00002870319,0.02061041,0.0104707,0.09031822],"study_design_scores_gemma":[0.01155919,0.002061076,0.9807974,0.0002079659,0.0001281735,0.00002133628,0.001313064,0.00002826963,0.00003986542,0.0004279231,0.003121425,0.0002943818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801737,0.0002196177,0.001013182,0.01350455,0.0003631542,0.001522761,0.001638509,0.00005823845,0.001506272],"genre_scores_gemma":[0.9966192,0.00000150648,0.001994028,0.0003804155,0.00005362999,0.0004973074,0.0001403586,0.00003873011,0.000274861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1171362,"threshold_uncertainty_score":0.7297267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04431738029771957,"score_gpt":0.353471795584825,"score_spread":0.3091544152871054,"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."}}