{"id":"W2900787262","doi":"","title":"Medical Laboratory Director Competencies: State of the Basic Medical Sciences and Global Perspective","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomedicine; Perspective (graphical); Medical laboratory; State (computer science); Medicine; Engineering ethics; Medical education; Engineering; Nursing; Computer science; Bioinformatics; Biology; Artificial intelligence","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":[],"category_scores_codex":[0.001478466,0.0002033681,0.0004431619,0.0001464067,0.0003483245,0.0004500126,0.003087131,0.0001231102,0.001812386],"category_scores_gemma":[0.001591933,0.000140824,0.00008181286,0.0005310163,0.001217221,0.000861859,0.000714234,0.0003855151,0.000003279719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324053,"about_ca_system_score_gemma":0.0004742233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009683825,"about_ca_topic_score_gemma":0.0001893033,"domain_scores_codex":[0.9975556,0.00008947437,0.000466,0.0002556978,0.001338453,0.0002947317],"domain_scores_gemma":[0.9985451,0.0002137038,0.0002548634,0.0003966443,0.0001768762,0.000412803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000631145,0.0004338334,0.8559636,0.001039561,0.0006363745,0.0000555292,0.001253304,0.0005444514,0.01399168,0.003083082,0.04844061,0.07449485],"study_design_scores_gemma":[0.0003259251,0.000009220533,0.98595,0.0007670118,0.00003022602,0.00001696673,0.0001109745,0.002521534,0.003064113,0.003523142,0.00344206,0.0002388159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757992,0.01644961,0.0002319341,0.001586261,0.001942042,0.0001747348,0.00007289169,0.00005448404,0.003688837],"genre_scores_gemma":[0.9937061,0.005842833,0.00011097,0.0001069262,0.0001795692,0.00001084051,8.677421e-7,0.00001764633,0.00002425624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1299864,"threshold_uncertainty_score":0.9991001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330858419544396,"score_gpt":0.4981605864119789,"score_spread":0.3650747444575393,"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."}}