{"id":"W4410050779","doi":"10.1038/s41746-025-01647-6","title":"The FAIIR conversational AI agent assistant for youth mental health service provision","year":2025,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; York University; University of Toronto; Trent University; University of Waterloo; Humber Polytechnic; The King's University; Schwartz/Reisman Emergency Medicine Institute; Queen's University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Canadian Institute for Advanced Research","keywords":"Mental health; Service (business); Psychology; Mental health service; Applied psychology; Medical education; Computer science; Business; Psychiatry; Medicine; Marketing","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":[0.0005742019,0.0001400356,0.0001867184,0.00007718719,0.0004807494,0.0001657626,0.0006217551,0.00003860865,0.000005931535],"category_scores_gemma":[0.0003811564,0.00008806333,0.00004121229,0.0003860722,0.00007017529,0.0002742311,0.0001996469,0.0001900173,0.00001043718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714688,"about_ca_system_score_gemma":0.0004149825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001682917,"about_ca_topic_score_gemma":0.00005660741,"domain_scores_codex":[0.998412,0.00005978265,0.0003849868,0.0003569435,0.0004673273,0.000318975],"domain_scores_gemma":[0.9987134,0.0003553464,0.0001474857,0.0004179822,0.0002292747,0.0001364746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002084151,0.0001541955,0.005898974,0.000903797,0.0001143964,0.00000332487,0.02272682,0.0001155751,0.0000304254,0.2757947,0.08663937,0.60741],"study_design_scores_gemma":[0.002572135,0.001083276,0.01064998,0.0007873916,0.0000137572,0.000009761458,0.002884656,0.1407606,0.00001855797,0.006710738,0.8342589,0.0002503282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003312369,0.001142698,0.1948669,0.7907639,0.002822067,0.001679278,0.000118036,0.000279472,0.005015278],"genre_scores_gemma":[0.9770316,0.00002220552,0.001056014,0.02010201,0.0001620867,0.00004445446,0.0001673217,0.000009924119,0.001404301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9737193,"threshold_uncertainty_score":0.3697584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464288804654949,"score_gpt":0.3310961898502378,"score_spread":0.3064533018036882,"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."}}