{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004033613,0.0008264824,0.0008041798,0.003392368,0.0008816603,0.004595248,0.001756913,0.001845508,0.02053814],"category_scores_gemma":[0.01001956,0.0003031821,0.0005554328,0.002560656,0.003070676,0.002511694,0.002882519,0.003163762,0.01332199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893282,"about_ca_system_score_gemma":0.004377598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355195,"about_ca_topic_score_gemma":0.0007171496,"domain_scores_codex":[0.9955279,0.001807766,0.0004707272,0.0007190277,0.001186961,0.0002876417],"domain_scores_gemma":[0.9936982,0.001765309,0.0007653331,0.0007854545,0.002383679,0.0006018642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003698596,0.0004216801,0.02330928,0.003530927,0.0001280373,0.003955144,0.001272532,0.00102105,0.008724917,0.1312708,0.168708,0.6572878],"study_design_scores_gemma":[0.00006362244,0.0003211936,0.01146827,0.003525825,0.00009511312,0.01528332,0.001224631,0.001609479,0.004478305,0.08512967,0.8767114,0.00008916842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01866934,0.2244975,0.2650403,0.1038564,0.01535315,0.002248082,0.00381793,0.003447267,0.36307],"genre_scores_gemma":[0.3360913,0.1747798,0.2880831,0.06923101,0.0249953,0.004087699,0.00439585,0.0007244009,0.09761147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02053814,"threshold_uncertainty_score":0.06870699,"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."}}