{"id":"W4296717254","doi":"10.2196/37469","title":"Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiteit van Tilburg; Universiteit Gent; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Nomothetic and idiographic; Stress (linguistics); Psychology; Computer science; Applied psychology; Multimedia; Human–computer interaction; Artificial intelligence; Social psychology","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":[0.001702475,0.0002986729,0.0003085816,0.001019145,0.0003291395,0.0009792118,0.0004471362,0.0003571862,0.001669107],"category_scores_gemma":[0.008904766,0.0001650856,0.0004772509,0.001144243,0.0004280152,0.0005095602,0.001108488,0.0005901651,0.0003559201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999044,"about_ca_system_score_gemma":0.0004040073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713962,"about_ca_topic_score_gemma":0.006636864,"domain_scores_codex":[0.9991677,0.0003928438,0.00007159766,0.0002047177,0.00008634499,0.0000768333],"domain_scores_gemma":[0.9956418,0.002127718,0.0009421301,0.0006013304,0.0005047881,0.0001821181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007006756,0.00009711675,0.9784787,0.00003912512,0.00006133425,0.00003479366,0.0009191775,0.0006520901,0.0004102983,0.0003665484,0.00028781,0.01858311],"study_design_scores_gemma":[0.000008120576,0.0001074787,0.9677185,0.00003659597,0.00005291878,0.00008133856,0.002164091,0.02723868,0.0004141786,0.00141641,0.000744537,0.00001725022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910534,0.00008019427,0.007494409,0.000183147,0.00001103991,0.00005066552,0.0005070186,0.00001892956,0.000601267],"genre_scores_gemma":[0.996332,0.00004924426,0.00290796,0.00003207109,0.000008224489,0.00005941516,0.000399476,0.000003884885,0.0002077746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003713962,"threshold_uncertainty_score":0.009003639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262205783697136,"score_gpt":0.3902265154700834,"score_spread":0.3640059371003698,"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."}}