{"id":"W4238794970","doi":"10.1515/iupac.56.0154","title":"A Basic Education and Training Framework for Medical Laboratory Technicians in Clinical ChemistryTo avoid confusion as a result of different national definitions the term Technician is used in accordance with the WHO definition (see text)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Technician; Confusion; Syllabus; Training (meteorology); Medical education; Term (time); Engineering management; Psychology; Engineering; Medicine; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087626,0.0002868463,0.0004354803,0.0001947124,0.00007645309,0.00002931736,0.0003267544,0.0006038836,0.00008161533],"category_scores_gemma":[0.001700359,0.0001701988,0.00006609964,0.0004306214,0.0003347318,0.00005428681,0.00004430555,0.001027781,2.366374e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930581,"about_ca_system_score_gemma":0.001376163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000271391,"about_ca_topic_score_gemma":0.0007882806,"domain_scores_codex":[0.9978692,0.00006064657,0.0006967424,0.0003184231,0.0007937238,0.0002612558],"domain_scores_gemma":[0.998139,0.0009747845,0.0001804534,0.0003558571,0.0002478993,0.0001019849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002491161,0.000974461,0.0001839228,0.001736657,0.0001183376,0.000004547989,0.0009496052,0.00001371704,0.0003038968,0.001718992,0.9714699,0.02227688],"study_design_scores_gemma":[0.005208544,0.0008148823,0.01914092,0.03071048,0.0002789615,0.00005334552,0.002649461,0.0009076949,0.000418898,0.01947198,0.9187546,0.001590222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02831923,0.0004009577,0.002465269,0.00409317,0.0003068528,0.0005006068,0.9638333,0.00005165519,0.00002896556],"genre_scores_gemma":[0.2683925,0.005863931,0.001262809,0.001765016,0.001899049,0.001102862,0.7195401,0.0001514358,0.00002228815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2442932,"threshold_uncertainty_score":0.6940504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361644195701031,"score_gpt":0.3708767905598561,"score_spread":0.3472603486028458,"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."}}