{"id":"W4405444752","doi":"10.3390/app142411738","title":"Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Saint Mary's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Interpretability; Transparency (behavior); Extant taxon; Mental health; Psychology; Computer science; Medical education; Engineering ethics; Artificial intelligence; Medicine; Engineering; Psychotherapist","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":[0.02571869,0.0001073447,0.0003519166,0.0003661082,0.0004705505,0.0001926089,0.000213122,0.00007847291,0.00004895179],"category_scores_gemma":[0.000650808,0.00007436229,0.00003962209,0.001911597,0.0002058441,0.0001438275,0.00004943297,0.001291832,0.00005311174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355065,"about_ca_system_score_gemma":0.0006518103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002450391,"about_ca_topic_score_gemma":0.0001793861,"domain_scores_codex":[0.9963322,0.001406191,0.0006078496,0.0004490157,0.0008039464,0.0004007773],"domain_scores_gemma":[0.9986364,0.0008112201,0.00006815079,0.0001985225,0.0001012776,0.000184411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00006220626,0.0006857276,0.003099544,0.4466712,0.00005213669,0.00005612775,0.321311,0.00003089504,0.003912304,0.04802993,0.002438193,0.1736508],"study_design_scores_gemma":[0.0001773993,0.003262686,0.0007990975,0.8011565,0.00007956889,0.0003177945,0.1399657,0.0192368,0.003371137,0.008972954,0.02200427,0.000656145],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02852791,0.8623907,0.0008874643,0.09658172,0.001485518,0.005372401,0.000005619688,0.000213785,0.004534862],"genre_scores_gemma":[0.8871034,0.0986006,0.008374777,0.004947622,0.000228891,0.0002820188,0.000053736,0.00001925534,0.0003896962],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8585755,"threshold_uncertainty_score":0.8913636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6665863548298849,"score_gpt":0.6687064610282837,"score_spread":0.002120106198398752,"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."}}