{"id":"W4405859871","doi":"10.5376/cmb.2024.14.0012","title":"Big Data Analytics in Biology: A Systematic Review of Methods for Large-Scale Data Processing","year":2024,"lang":"en","type":"review","venue":"Computational Molecular Biology","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":"Big data; Data science; Scale (ratio); Computer science; Analytics; Data analysis; Computational biology; Biology; Data mining; Geography; Cartography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003937628,0.0004829974,0.00228907,0.0003877312,0.00004669925,0.00003502018,0.002811214,0.000703837,0.000003621577],"category_scores_gemma":[0.003437512,0.0003577103,0.0003504195,0.00059186,0.0002749274,0.000006133702,0.002905651,0.0003438089,0.00001192935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004150593,"about_ca_system_score_gemma":0.001459541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003573501,"about_ca_topic_score_gemma":0.000009203683,"domain_scores_codex":[0.9953253,0.0008367819,0.001963023,0.001166097,0.0001803731,0.0005284223],"domain_scores_gemma":[0.9964964,0.0003105989,0.000691151,0.002005688,0.0003609309,0.0001352734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005789995,0.00007885216,8.54237e-7,0.7796111,0.000426625,0.00000198966,0.000006598626,0.000002237247,0.00006512737,0.0003012861,0.0009445195,0.218555],"study_design_scores_gemma":[0.0005196813,0.0004381635,3.388007e-7,0.3101031,0.003636942,0.00007867481,0.00002992517,0.02619676,0.00001844001,0.006606529,0.651546,0.0008254054],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.264456e-7,0.5813478,0.4147114,0.00005802032,0.0001845408,0.001304249,0.002361367,0.00000701008,0.00002544498],"genre_scores_gemma":[0.00001294657,0.8519256,0.08559289,0.0002975949,0.0001777956,0.0001510266,0.0617574,0.00005239703,0.00003239646],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6506015,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17901222914502,"score_gpt":0.5091284780473999,"score_spread":0.3301162489023799,"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."}}