{"id":"W4408927584","doi":"10.22214/ijraset.2025.67855","title":"Research on Mental Health Prediction using ML","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Mental health; Computer science; Psychology; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01769683,0.00007827,0.0001426376,0.007304844,0.001642618,0.0000833584,0.0007143566,0.0001612009,0.000004093621],"category_scores_gemma":[0.0009578845,0.00007380982,0.00001259562,0.003601794,0.0004218121,0.0001550185,0.0003419483,0.002105684,0.000008658864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003606629,"about_ca_system_score_gemma":0.00200683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006938291,"about_ca_topic_score_gemma":0.00001364895,"domain_scores_codex":[0.9967865,0.00008786276,0.0005694181,0.0003125805,0.001329505,0.000914101],"domain_scores_gemma":[0.9974009,0.0004388216,0.00007552411,0.0001672933,0.00181644,0.0001010448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001531907,0.00005736489,0.002092923,0.0001794628,0.00001594044,0.000004557431,0.0004770128,0.0005327567,0.01107487,0.9475037,0.006400586,0.03150766],"study_design_scores_gemma":[0.006058044,0.001291707,0.008083874,0.008965633,0.000001813295,0.0001850628,0.03896603,0.179726,0.003522964,0.2160559,0.5366511,0.0004918672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8400045,0.0003717726,0.01287342,0.1074959,0.0127339,0.004663802,0.0000828963,0.00029613,0.02147765],"genre_scores_gemma":[0.9975972,0.00007112596,0.00148031,0.0001959409,0.0002298697,0.0002283909,0.000003186404,0.00001075376,0.0001832657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7314478,"threshold_uncertainty_score":0.9996571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3020863928200395,"score_gpt":0.6228618001937142,"score_spread":0.3207754073736747,"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."}}