{"id":"W2209615792","doi":"10.1371/journal.pone.0053757.g004","title":"BLAST atlas of NAP1 genomes.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Genome; Biology; Computational biology; Genetics; Anatomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001856795,0.003481516,0.002871231,0.007122902,0.002552495,0.002365911,0.003578964,0.00216288,0.09210608],"category_scores_gemma":[0.003647408,0.001716239,0.001855878,0.008257989,0.0004473026,0.002815474,0.002760534,0.003401914,0.1065399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725003,"about_ca_system_score_gemma":0.002773185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006085788,"about_ca_topic_score_gemma":0.01025367,"domain_scores_codex":[0.9987821,0.0001883378,0.0001226048,0.000435382,0.0002583193,0.0002131334],"domain_scores_gemma":[0.9991898,0.0002457794,0.00009275303,0.0001573012,0.0001817662,0.0001325394],"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":[0.001480688,0.0001193723,0.002301832,0.009186668,0.0002725131,0.0004726245,0.0005128818,0.001334476,0.05167797,0.004930998,0.9025619,0.02514799],"study_design_scores_gemma":[0.0002844917,0.0001661706,0.006450283,0.0006620401,0.0002770507,0.0004823933,0.0001859268,0.002673039,0.01186572,0.003139152,0.9737238,0.00008986836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003915646,0.002118191,0.007727002,0.0003208422,0.0002854588,0.0001345925,0.9414152,0.02759743,0.01648572],"genre_scores_gemma":[0.004008192,0.0007240921,0.01259327,0.0001122023,0.00002693779,0.0001972767,0.9758647,0.003573212,0.002900135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09210608,"threshold_uncertainty_score":0.3081255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121097284215902,"score_gpt":0.2789211389945873,"score_spread":0.2577101661524283,"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."}}