{"id":"W4384039093","doi":"10.1101/2023.07.10.548308","title":"Petascale Homology Search for Structure Prediction","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Research Foundation of Korea; University of British Columbia; Seoul National University; Samsung; Agence Nationale de la Recherche; Horizon 2020 Framework Programme; National Research Foundation","keywords":"Petascale computing; Computer science; Homology (biology); Parallel computing; Computational science; Supercomputer; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008047547,0.001391207,0.0008520059,0.0007103856,0.000803384,0.001069846,0.00151358,0.0007321963,0.01692338],"category_scores_gemma":[0.002005443,0.0005078849,0.0009408977,0.0009933359,0.0002791742,0.00120195,0.00112586,0.001651308,0.007956404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007557487,"about_ca_system_score_gemma":0.0007552864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692479,"about_ca_topic_score_gemma":0.003197203,"domain_scores_codex":[0.9994602,0.0001182828,0.00004068551,0.0001615116,0.0001477065,0.00007172798],"domain_scores_gemma":[0.9994972,0.0001730953,0.00004169282,0.0001451079,0.00007369548,0.00006917116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007970084,0.0007602941,0.01204464,0.002544213,0.0006029491,0.002136083,0.0005767785,0.03660069,0.3733281,0.05269562,0.3001375,0.2106031],"study_design_scores_gemma":[0.0008138473,0.0008846564,0.005971861,0.0001684135,0.000187329,0.001746601,0.0002468348,0.4473136,0.2719941,0.03666033,0.2338606,0.0001519308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4088923,0.005012787,0.2994923,0.002608082,0.0009086637,0.0006157791,0.07919674,0.1520967,0.05117667],"genre_scores_gemma":[0.598053,0.0009101133,0.2732553,0.0007206179,0.00008702165,0.0005806442,0.1070769,0.007250373,0.01206594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692338,"threshold_uncertainty_score":0.05661428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372036139504573,"score_gpt":0.2474342050538202,"score_spread":0.2237138436587744,"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."}}