{"id":"W2023689383","doi":"10.4102/ajlm.v3i1.123","title":"Improving access to new diagnostics through harmonised regulation: priorities for action","year":2014,"lang":"en","type":"article","venue":"African Journal of Laboratory Medicine","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Market access; Business; Risk analysis (engineering); Quality (philosophy); Process (computing); Order (exchange); Operations management; Computer science; Computer security; Finance; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004958111,0.0001306972,0.0004204849,0.0002022493,0.00009551787,0.000012849,0.0001646256,0.0005739803,0.00007218509],"category_scores_gemma":[0.002312947,0.00009258015,0.00005530589,0.0004684689,0.000139825,0.0002172659,0.00002339686,0.0008815257,0.000002753228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006380641,"about_ca_system_score_gemma":0.0003362526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001350472,"about_ca_topic_score_gemma":0.00000391615,"domain_scores_codex":[0.9989135,0.00004125974,0.0004757272,0.0001335989,0.0002512412,0.0001847217],"domain_scores_gemma":[0.9982504,0.0003310591,0.000384901,0.0001999621,0.0006137265,0.0002199995],"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":[0.00436318,0.0002544519,0.008641241,0.0007583431,0.0008586391,0.000165897,0.006326761,0.0001090206,0.1868859,0.0149577,0.5788608,0.197818],"study_design_scores_gemma":[0.01109102,0.009174914,0.02221084,0.001701226,0.001330171,0.0003548565,0.002423342,0.0001902449,0.08491011,0.004088266,0.8621379,0.0003871309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.155683,0.00404476,0.424106,0.4100926,0.003798943,0.0009043852,0.000008671756,0.0001290897,0.001232438],"genre_scores_gemma":[0.9755179,0.0007332731,0.01331892,0.006552285,0.003356643,0.000006724726,0.000003436963,0.00003178451,0.0004790042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8198349,"threshold_uncertainty_score":0.4427062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346775955492802,"score_gpt":0.3289258530480244,"score_spread":0.2854580934930964,"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."}}