{"id":"W4408301716","doi":"10.1111/jan.16874","title":"Leveraging Artificial Intelligence to Inform Care Coordination by Identifying and Intervening in Patients' Unmet Social Needs: A Scoping Review","year":2025,"lang":"en","type":"review","venue":"Journal of Advanced Nursing","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Global Health Research; St. Michael's Hospital","funders":"","keywords":"CINAHL; PsycINFO; Health care; Artificial intelligence; Harm; Psychology; MEDLINE; Medicine; Nursing; Computer science; Psychological intervention; Social psychology; Political science","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":[0.03362625,0.001690374,0.004095572,0.0222085,0.001556495,0.007761091,0.002528971,0.004313883,0.003623334],"category_scores_gemma":[0.1381893,0.001267881,0.00587339,0.01804275,0.002309941,0.00610732,0.003316009,0.002698643,0.0005853343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007385788,"about_ca_system_score_gemma":0.02999238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193257,"about_ca_topic_score_gemma":0.02384044,"domain_scores_codex":[0.9743945,0.01308596,0.007010185,0.001214544,0.003735565,0.000559166],"domain_scores_gemma":[0.8416326,0.1366649,0.009582027,0.001554103,0.00991815,0.0006481481],"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":[0.0001140931,0.00006778065,0.001376648,0.6971298,0.0033417,0.0001679984,0.00188528,0.0006258503,0.0002027335,0.004410437,0.007825701,0.282852],"study_design_scores_gemma":[0.0000339098,0.0000714992,0.001270455,0.954688,0.004296106,0.0001364317,0.0008622829,0.0001859401,0.0001281378,0.001653563,0.03663895,0.00003472871],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006208792,0.9942077,0.000668925,0.002089171,0.0004322705,0.0004858936,0.0001340139,0.00001072549,0.001350337],"genre_scores_gemma":[0.006997459,0.9887434,0.001843157,0.001087782,0.0002013094,0.000842609,0.0001244588,0.000006808399,0.0001528738],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03362625,"threshold_uncertainty_score":0.1778347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1735880475318451,"score_gpt":0.5200833633291473,"score_spread":0.3464953157973022,"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."}}