{"id":"W4387163701","doi":"10.1109/inc457730.2023.10263141","title":"Machine Learning based approaches for Identification and Prediction of diverse Mental Health Conditions","year":2023,"lang":"en","type":"article","venue":"","topic":"Mental Health via Writing","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Machine learning; Mental health; Oversampling; Artificial intelligence; Identification (biology); Computer science; Anxiety; Depression (economics); Statistical classification; Domain (mathematical analysis); Psychology; Data science; Psychiatry; Mathematics","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":[0.001761062,0.0009691446,0.0009167979,0.003414247,0.0004029674,0.001279652,0.0009861802,0.001018554,0.001525029],"category_scores_gemma":[0.004382291,0.0002738407,0.001037892,0.001729477,0.0002416824,0.0007206048,0.0006777382,0.001543479,0.0005577256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006092332,"about_ca_system_score_gemma":0.0007702048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006459088,"about_ca_topic_score_gemma":0.005004706,"domain_scores_codex":[0.9992101,0.0002520417,0.0001016675,0.0002056755,0.0001482033,0.00008217481],"domain_scores_gemma":[0.9980263,0.00136471,0.0001892809,0.00007582951,0.0002717054,0.0000720917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002967591,0.0008220233,0.1293295,0.0005367567,0.0007311112,0.0005761624,0.000261363,0.2451044,0.001900831,0.004465998,0.009515176,0.60646],"study_design_scores_gemma":[0.00001612519,0.0001117893,0.01634984,0.0001133318,0.00009237675,0.0001581294,0.0001514984,0.9707073,0.0007828403,0.009245978,0.002242215,0.00002851934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.20693,0.01649187,0.7547403,0.004422979,0.0006456099,0.0006248724,0.00634234,0.001695993,0.00810607],"genre_scores_gemma":[0.8634143,0.00385819,0.1247811,0.0004991411,0.0004554954,0.0003926234,0.003955751,0.00003757526,0.002605846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006459088,"threshold_uncertainty_score":0.01284295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475389625497981,"score_gpt":0.3952825805712057,"score_spread":0.2477436180214076,"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."}}