{"id":"W2921227961","doi":"10.15694/mep.2019.000056.1","title":"Interprofessional Competency Frameworks in Education","year":2019,"lang":"en","type":"article","venue":"MedEdPublish","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qatar National Research Fund; Qatar University; Fonds National de la Recherche Luxembourg","keywords":"Interprofessional education; Economic shortage; Medical education; Health care; Resource (disambiguation); Collaborative Care; Medicine; Nursing; Psychology; Political science; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000629233,0.000149881,0.0002255831,0.0003693513,0.0002162103,0.00003395825,0.0003005872,0.0005377502,0.01270211],"category_scores_gemma":[0.0004021638,0.0001307437,0.00004479232,0.0007572401,0.00002552194,0.0006635563,0.0001192477,0.001835446,0.002826163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830562,"about_ca_system_score_gemma":0.004670536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003079009,"about_ca_topic_score_gemma":0.0006949037,"domain_scores_codex":[0.9978391,0.0004966361,0.0005990237,0.0003346964,0.0003439548,0.0003865808],"domain_scores_gemma":[0.998505,0.0003440828,0.0002161058,0.0003662335,0.0004719333,0.00009661868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003164858,0.0004579503,0.6778474,0.0001517317,0.00000746229,5.539544e-7,0.006080786,0.000005035929,0.0005737541,0.09231801,0.2078876,0.01435324],"study_design_scores_gemma":[0.001180714,0.00009177693,0.7112542,0.001998552,0.000006499921,0.000001508359,0.03302018,0.0005507928,0.00004123479,0.02570702,0.2257609,0.0003866461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8429676,0.0001137379,0.0000632801,0.01795787,0.02510531,0.0009511424,0.000005367267,0.0000835415,0.1127522],"genre_scores_gemma":[0.9407631,0.000006012228,0.001294564,0.01953382,0.0005113659,0.0004260417,0.0001855843,0.00002421754,0.03725533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09779551,"threshold_uncertainty_score":0.9979503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204172223997772,"score_gpt":0.4112208455729373,"score_spread":0.3991791233329595,"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."}}