{"id":"W6976840806","doi":"10.6084/m9.figshare.13142014.v1","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":"Figshare","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":[0.003828748,0.001989477,0.001822689,0.004000748,0.00163948,0.003129312,0.004115877,0.00166697,0.8704479],"category_scores_gemma":[0.03431443,0.001006015,0.00146095,0.005747581,0.0005060997,0.003594993,0.002078779,0.001874732,0.3377071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551214,"about_ca_system_score_gemma":0.002931709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007466744,"about_ca_topic_score_gemma":0.01320365,"domain_scores_codex":[0.9984419,0.0003117386,0.0001874483,0.0004119588,0.0004449488,0.0002020627],"domain_scores_gemma":[0.973865,0.01934068,0.0007932436,0.002129878,0.003059012,0.0008122733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002176803,0.00005335737,0.000636548,0.001408298,0.00003979271,0.00004054494,0.0000374232,0.0003129942,0.0002851634,0.0005545065,0.9906698,0.005743856],"study_design_scores_gemma":[0.003340727,0.0002675917,0.009530665,0.001847872,0.0002939714,0.0005439949,0.0003498756,0.004257494,0.00313772,0.01484837,0.961338,0.0002437297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001497978,0.00002908861,0.00100781,0.0001076985,0.00006036699,0.00005420849,0.9948908,0.002389774,0.001310374],"genre_scores_gemma":[0.003931649,0.0001359599,0.009597035,0.0004036335,0.00008625672,0.0006007968,0.9730976,0.00609833,0.006048744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8704479,"threshold_uncertainty_score":0.1847903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2119679083397354,"score_gpt":0.3625048681388617,"score_spread":0.1505369597991263,"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."}}