{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002642921,0.001189272,0.0004344236,0.0007907874,0.0004661908,0.001012154,0.001308665,0.0007280539,0.00591066],"category_scores_gemma":[0.007877337,0.0002980545,0.000478732,0.0003250312,0.00018615,0.001539815,0.001241577,0.001272699,0.004261026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058813,"about_ca_system_score_gemma":0.001843606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009535146,"about_ca_topic_score_gemma":0.01460044,"domain_scores_codex":[0.9988876,0.0005137873,0.00006620754,0.0002692427,0.000177063,0.00008611235],"domain_scores_gemma":[0.9979473,0.0009004053,0.0001403061,0.0002982469,0.0005082129,0.0002055688],"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":[0.001204811,0.0008836251,0.02093912,0.0004859224,0.0002353912,0.0003911786,0.001446953,0.03641188,0.01604223,0.001730638,0.03995647,0.8802718],"study_design_scores_gemma":[0.0001140229,0.0009475146,0.007687069,0.0001043038,0.0001369119,0.000426147,0.0008417843,0.9139807,0.02042156,0.002367643,0.05284473,0.0001276642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3002204,0.002039591,0.5727134,0.002007012,0.0008873796,0.00165269,0.004459568,0.09640331,0.01961671],"genre_scores_gemma":[0.637475,0.0004777111,0.3426021,0.0005665789,0.0001669844,0.000626952,0.003964409,0.0004169102,0.01370331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009535146,"threshold_uncertainty_score":0.01977313,"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."}}