{"id":"W6901916589","doi":"10.6084/m9.figshare.13142014","title":"Additional file 1 of Progress in quickly finding orthologs as reciprocal best hits: comparing blast, last, diamond and MMseqs2","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Reciprocal; Diamond; Key (lock); DNA Transposable Elements; Encoding (memory)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004193089,0.001910212,0.001818127,0.004095494,0.001553215,0.002976047,0.004006865,0.001600109,0.8473043],"category_scores_gemma":[0.03948204,0.0009067363,0.001356487,0.006035161,0.0004819391,0.003405816,0.00203177,0.001781929,0.2853005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527097,"about_ca_system_score_gemma":0.003129027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0079027,"about_ca_topic_score_gemma":0.01428939,"domain_scores_codex":[0.9982874,0.0003472558,0.0002253716,0.0004397258,0.0004916071,0.0002085858],"domain_scores_gemma":[0.9701801,0.02239859,0.0009334899,0.00226853,0.00339035,0.0008290744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002519223,0.00006759531,0.000813199,0.001843326,0.00004690396,0.00004664528,0.00004629857,0.0003431066,0.0003202364,0.000605967,0.9887095,0.006905194],"study_design_scores_gemma":[0.003538112,0.0003039256,0.01112643,0.002244259,0.0003362581,0.0005978504,0.000437448,0.004584823,0.003282628,0.01577811,0.9575127,0.0002575099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0001651645,0.00002950686,0.0009765222,0.0001025092,0.00005533913,0.00005220829,0.9955053,0.00194743,0.001166013],"genre_scores_gemma":[0.00415718,0.000137578,0.009435794,0.0003646216,0.0000805798,0.0005932984,0.9753228,0.00452727,0.005380839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8473043,"threshold_uncertainty_score":0.2178017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2189779979153851,"score_gpt":0.3996763369798109,"score_spread":0.1806983390644259,"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."}}