{"id":"W4393388205","doi":"10.53555/sfs.v10i6.2416","title":"Molecular Diagnostic Approach In Clinical Laboratory","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computational biology; Medicine; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.009454795,0.0000908003,0.0002196982,0.0002302846,0.00003963238,0.00005906053,0.0005231163,0.0001396824,0.000007553498],"category_scores_gemma":[0.007605164,0.00006966213,0.00006814359,0.000986329,0.0007679755,0.00001631833,0.0001494892,0.0002329446,0.000005294929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001336299,"about_ca_system_score_gemma":0.0004441742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004498203,"about_ca_topic_score_gemma":0.0002017347,"domain_scores_codex":[0.9978345,0.0004397281,0.0007332476,0.0001675505,0.000504743,0.0003201998],"domain_scores_gemma":[0.9990095,0.0003764837,0.0001728094,0.0001327719,0.0001803771,0.0001280286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004037814,0.00008968284,0.9910803,0.00002041893,0.000008812442,0.00003280844,0.00007730808,0.0001997259,0.00167678,0.000004843831,0.004366632,0.002402356],"study_design_scores_gemma":[0.0004392114,0.0006644095,0.9930933,0.00002688514,0.000001825584,0.0000071195,0.0004598729,0.0002006265,0.001634116,0.00009007275,0.003272114,0.0001104361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981894,0.0003118099,0.0001225561,0.000329151,0.0003393998,0.0000741883,0.00001534969,0.000002456868,0.0006157082],"genre_scores_gemma":[0.9969335,0.00199846,0.0007460632,0.0001648336,0.00009696731,0.000002770176,0.00001547836,0.000005487889,0.00003650735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002291919,"threshold_uncertainty_score":0.9104641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417794213306854,"score_gpt":0.3499572047411394,"score_spread":0.208177783410454,"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."}}