{"id":"W4404788064","doi":"10.1109/tetci.2024.3500023","title":"Adaptive Constrained IVAMGGMM: Application to Mental Disorders Detection","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002522898,0.0001709832,0.0001215715,0.0005001011,0.0002001035,0.00010949,0.0004084999,0.00007016393,0.00002744295],"category_scores_gemma":[0.00001246899,0.0001934301,0.00007281148,0.001123568,0.00004901553,0.0002689192,0.000007029666,0.0004672367,0.0001233825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752185,"about_ca_system_score_gemma":0.0001015495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002336453,"about_ca_topic_score_gemma":0.0004022021,"domain_scores_codex":[0.998356,0.00009641216,0.0003677225,0.0005740654,0.000364001,0.0002417889],"domain_scores_gemma":[0.9992276,0.0003253121,0.00003911136,0.0002400411,0.00007435105,0.00009353775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006146977,0.00003098925,0.000007085684,0.00001526036,0.000007566122,0.000001931148,0.001105901,0.5526577,0.0000265573,0.01791461,0.000006505416,0.4282197],"study_design_scores_gemma":[0.00004258598,0.0001379421,0.0001589078,0.00007878536,0.000002905624,0.00001010515,0.0001135664,0.9709594,0.001101731,0.02597332,0.001237464,0.0001832627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001585588,0.00004931694,0.9891679,0.006501322,0.001591583,0.0004383451,0.000009173522,0.0003419125,0.0003148518],"genre_scores_gemma":[0.9497789,0.00001931872,0.04960172,0.0002949568,0.00005965323,0.0001267884,0.000003083264,0.000014366,0.0001012453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9481933,"threshold_uncertainty_score":0.7887849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250748482959987,"score_gpt":0.3292971209134159,"score_spread":0.306789636083816,"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."}}