{"id":"W4378767245","doi":"","title":"SaudiMEDs and CanMEDs frameworks: similarities and differences","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evolutionary biology; Computer science; Computational biology; Biology","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00204027,0.0002442288,0.0006603803,0.0003552933,0.000562017,0.001938885,0.001556016,0.0002901211,0.01298861],"category_scores_gemma":[0.0004286843,0.0002306975,0.00006420077,0.0003450727,0.0006712093,0.002045685,0.0007620047,0.0005466617,0.0000176232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312807,"about_ca_system_score_gemma":0.0002894441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046411,"about_ca_topic_score_gemma":0.0004221734,"domain_scores_codex":[0.9976885,0.0003436829,0.0005433934,0.0004105955,0.0005637012,0.0004501556],"domain_scores_gemma":[0.9977651,0.001077495,0.0004730628,0.0002416394,0.0001355491,0.0003071854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000257078,0.00003565195,0.9594797,0.00005504587,0.0001124202,0.000004026272,0.01258683,0.000001317314,0.0002793336,0.0009452915,0.01594802,0.01052658],"study_design_scores_gemma":[0.0003503821,0.000007686858,0.927375,0.0003401379,0.0000391372,0.000002576874,0.01524541,0.00001442257,0.0002831336,0.03447129,0.02142825,0.000442557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590801,0.01211897,0.00002399043,0.0009683501,0.001108472,0.000446893,0.00001183982,0.00003518651,0.02620618],"genre_scores_gemma":[0.9684696,0.02757112,0.0004131565,0.0007956859,0.0001854619,0.00003836601,0.000002175525,0.00002537724,0.002499104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.033526,"threshold_uncertainty_score":0.9990972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1943883979269908,"score_gpt":0.5451005569376207,"score_spread":0.3507121590106299,"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."}}