{"id":"W4415739125","doi":"10.2196/80765","title":"Using Smartphone-Tracked Behavioral Markers to Recognize Depression and Anxiety Symptoms: Cross-Sectional Digital Phenotyping Study","year":2025,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"GGZ Drenthe; ZonMw; Rivierduinen; Amsterdam University Medical Centers; GGZ Friesland; Universitair Medisch Centrum Groningen; GGZ inGeest; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Leids Universitair Medisch Centrum; Universiteit Leiden; European Commission; Rijksuniversiteit Groningen; Cohen Veterans Bioscience; European Federation of Pharmaceutical Industries and Associations","keywords":"Depression (economics); Anxiety; Linear discriminant analysis; Discriminant validity; Research Domain Criteria","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":[0.001853443,0.0003318862,0.0002548946,0.0005946916,0.0003672887,0.0008265829,0.0003854594,0.0005202018,0.00128409],"category_scores_gemma":[0.004570566,0.0003247533,0.0004894228,0.0005386221,0.0002564391,0.0006160156,0.0006663996,0.0005725574,0.0004789465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002748482,"about_ca_system_score_gemma":0.0002953787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004550518,"about_ca_topic_score_gemma":0.006986156,"domain_scores_codex":[0.9991854,0.0003537207,0.00008368689,0.0001813689,0.0001125662,0.00008318384],"domain_scores_gemma":[0.9976674,0.0006350921,0.0007454627,0.0003594403,0.0003818472,0.0002107422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001121436,0.000146868,0.9973136,0.00001482411,0.0001006149,0.00002510027,0.0001483994,0.00003809385,0.0001619049,0.00001981346,0.0001268777,0.001791891],"study_design_scores_gemma":[0.0000190851,0.0004920848,0.9973173,0.00001545475,0.0001142594,0.0001841783,0.0004256833,0.000824058,0.0001624545,0.00003273017,0.0004061445,0.000006638532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985352,0.00006670805,0.0004659393,0.00002659543,0.00000538061,0.0000564254,0.0005374438,0.000003919621,0.0003025041],"genre_scores_gemma":[0.9984842,0.00007217342,0.0005124396,0.00006895688,0.000008833057,0.00006388366,0.0005930088,0.000002611913,0.0001939686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004550518,"threshold_uncertainty_score":0.009802043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05355507991694797,"score_gpt":0.4717904280956989,"score_spread":0.4182353481787509,"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."}}