{"id":"W4404297591","doi":"10.1016/j.future.2024.107585","title":"In silico framework for genome analysis","year":2024,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Science Foundation of Shandong Province","keywords":"Computer science; In silico; Data science; Biology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001335974,0.001193451,0.0009767244,0.001127507,0.0006756558,0.00217573,0.00251101,0.0009562243,0.01391935],"category_scores_gemma":[0.002484249,0.0007990496,0.001807609,0.0007266021,0.0005720638,0.001030956,0.001506179,0.001634323,0.005913199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006576339,"about_ca_system_score_gemma":0.0009593547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387904,"about_ca_topic_score_gemma":0.001806844,"domain_scores_codex":[0.9994816,0.0002097803,0.00004528293,0.00009062742,0.0001327718,0.00003999911],"domain_scores_gemma":[0.9990786,0.0005282273,0.0000507407,0.0001888341,0.00009916657,0.00005428695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001154801,0.0006393646,0.005847781,0.00313008,0.001181587,0.002061246,0.0007575891,0.2427865,0.05249843,0.3765357,0.07177382,0.2416331],"study_design_scores_gemma":[0.0001366167,0.00009517282,0.0006869331,0.0001796913,0.0003269548,0.0006435249,0.00008579734,0.6870069,0.01991892,0.1424665,0.1483951,0.00005770877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001484724,0.0001641707,0.9713169,0.0001386763,0.00006498539,0.00008433274,0.001455791,0.02226375,0.003026586],"genre_scores_gemma":[0.05461904,0.0005321616,0.9313076,0.0002752521,0.00005418484,0.0004325358,0.00635771,0.003516766,0.002904776],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01391935,"threshold_uncertainty_score":0.04656488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012920742674165,"score_gpt":0.2562877058193001,"score_spread":0.2433669631451351,"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."}}