{"id":"W4385330123","doi":"10.1037/abn0000855","title":"Capturing mood dynamics through adolescent smartphone social communication.","year":2023,"lang":"en","type":"article","venue":"Journal of Psychopathology and Clinical Science","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Mood; Anhedonia; Psychology; PsycINFO; Affect (linguistics); Social media; Depression (economics); Clinical psychology; Developmental psychology; Psychiatry; MEDLINE; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004864344,0.0003903109,0.0002513478,0.0005587531,0.0002731312,0.0006034888,0.0002527119,0.0002876225,0.005448016],"category_scores_gemma":[0.00243996,0.0001815198,0.0002574781,0.0004655684,0.00007635276,0.0003199668,0.0004690353,0.0003182134,0.001719335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814658,"about_ca_system_score_gemma":0.0001518454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993648,"about_ca_topic_score_gemma":0.004211546,"domain_scores_codex":[0.9997838,0.00006841738,0.00003915929,0.00004342413,0.00004188294,0.00002333699],"domain_scores_gemma":[0.9992604,0.0002064403,0.0002178785,0.00003625077,0.0001848476,0.00009413681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004048554,0.0004730149,0.9012543,0.0003272473,0.00008694065,0.0003130922,0.002017598,0.00009858039,0.003447142,0.000095878,0.004475275,0.08700608],"study_design_scores_gemma":[0.00003491673,0.0003068474,0.9910501,0.00005394975,0.00006483585,0.0006834231,0.002140881,0.001124902,0.0008688751,0.0001430565,0.00351561,0.00001266924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883307,0.0003284015,0.001240253,0.0001325316,0.00002585549,0.0004735945,0.005881962,0.00007805316,0.00350877],"genre_scores_gemma":[0.9881642,0.0005120758,0.004942802,0.0001879117,0.00003476485,0.0009859782,0.002809475,0.00001509871,0.002347721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005448016,"threshold_uncertainty_score":0.01822543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08791639093511498,"score_gpt":0.4888210732893092,"score_spread":0.4009046823541942,"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."}}