{"id":"W4410089755","doi":"10.2196/70073","title":"mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process and Pilot Implementation","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wellcome Trust","keywords":"Preprint; Process (computing); Visualization; Schizophrenia (object-oriented programming); Computer science; Human–computer interaction; Psychology; World Wide Web; Operating system; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01824507,0.001049152,0.0005327404,0.001120025,0.0009504533,0.003122094,0.001868468,0.001074587,0.007179267],"category_scores_gemma":[0.02221688,0.0006435405,0.0009281182,0.0004267906,0.001228099,0.001964448,0.003394836,0.001503571,0.001370917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008213155,"about_ca_system_score_gemma":0.003013594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006352088,"about_ca_topic_score_gemma":0.0008918152,"domain_scores_codex":[0.992092,0.005588277,0.000456951,0.0006517562,0.0008309654,0.0003800394],"domain_scores_gemma":[0.9804599,0.01247326,0.0007811388,0.001991004,0.002753343,0.001541428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008411477,0.01182111,0.04535278,0.007486612,0.0003970136,0.005285602,0.07979438,0.01467268,0.1095431,0.01544761,0.02288179,0.6789059],"study_design_scores_gemma":[0.009126542,0.0600601,0.09289033,0.00455851,0.001330836,0.005736778,0.06244273,0.1525998,0.179941,0.03356188,0.3964921,0.001259427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5009382,0.0003913807,0.4499695,0.001173958,0.0002891528,0.0267935,0.001375414,0.01050665,0.008562219],"genre_scores_gemma":[0.2814855,0.0002429722,0.6948032,0.0003637822,0.00004460607,0.01695972,0.000849719,0.0007725801,0.004477904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01824507,"threshold_uncertainty_score":0.09649032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2910634454453821,"score_gpt":0.550344100102689,"score_spread":0.2592806546573069,"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."}}