{"id":"W4417039044","doi":"10.1080/13561820.2025.2576241","title":"The role of artificial intelligence in enhancing interprofessional education and collaborative practice: a mixed methods scoping review","year":2025,"lang":"en","type":"article","venue":"Journal of Interprofessional Care","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interprofessional education; Health care; Teamwork; Collaborative learning; Health professionals; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004184318,0.0002361271,0.0006327522,0.0004738743,0.0006990579,0.00002547161,0.0004197968,0.0002397707,0.0001429673],"category_scores_gemma":[0.006634506,0.0001554565,0.0001231315,0.00115594,0.0001612156,0.0005042551,0.0002999965,0.001449236,0.000007325065],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004696817,"about_ca_system_score_gemma":0.0214307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007767616,"about_ca_topic_score_gemma":0.0009585398,"domain_scores_codex":[0.9924009,0.003901304,0.002625107,0.0002597971,0.0005146052,0.0002982879],"domain_scores_gemma":[0.9872429,0.005900788,0.002101017,0.0002596232,0.004384813,0.0001108885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00705424,0.0006042165,0.004597334,0.006345719,0.0001506424,0.000004280676,0.02501283,0.000007666265,0.01380837,0.06406029,0.003123097,0.8752313],"study_design_scores_gemma":[0.0002623026,0.0001997897,0.001556013,0.373875,0.00009799033,0.00001334456,0.6000472,0.0001353503,0.004950673,0.01597979,0.002680507,0.0002019675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2190259,0.655064,0.01891525,0.04076355,0.04014442,0.006716884,0.00004321431,0.00004599097,0.01928077],"genre_scores_gemma":[0.9343332,0.009906254,0.0484532,0.005295315,0.0004896732,0.0004889462,0.00002455802,0.00003523305,0.0009736179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8750293,"threshold_uncertainty_score":0.9841169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206371444149069,"score_gpt":0.5453935781571916,"score_spread":0.5247564337422846,"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."}}