{"id":"W4280553929","doi":"10.1093/bioinformatics/btac327","title":"Assessing and assuring interoperability of a genomics file format","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software; Suite; Interoperability; Test suite; File format; Fuzz testing; Software engineering; Correctness; Test case; Database; Programming language; Operating system; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001845463,0.00008069498,0.0001133293,0.00002535352,0.0001470818,0.00002407884,0.0001102184,0.00002577627,0.00005906782],"category_scores_gemma":[0.0000313065,0.00007861013,0.00004064327,0.00003447846,0.00005369177,0.000002111829,0.0005292257,0.00005454286,9.97983e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001646164,"about_ca_system_score_gemma":0.00003452943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007163882,"about_ca_topic_score_gemma":0.00000238036,"domain_scores_codex":[0.9994532,0.00001967158,0.0002507626,0.00008250518,0.00007379174,0.0001200402],"domain_scores_gemma":[0.9996327,0.00001373334,0.0001121974,0.0001793609,0.00003223918,0.00002977852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002610486,0.000435561,0.03673993,0.001236754,0.0007134329,0.000003242973,0.01400862,0.003930177,0.7485416,0.0004700025,0.0340541,0.1596055],"study_design_scores_gemma":[0.002107785,0.001621322,0.07301351,0.00003895753,0.00009730979,0.0001774252,0.02475874,0.02180573,0.07475217,0.0003212048,0.8002241,0.001081783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967504,0.0003980359,0.0004383075,0.0000276493,0.00008418791,0.0001019663,0.0002072999,0.000002409037,0.001989756],"genre_scores_gemma":[0.9901735,0.00008869888,0.009477956,0.0001010732,0.000022793,0.0000163973,0.00006521124,0.000007641477,0.00004670741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.76617,"threshold_uncertainty_score":0.3205628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172935599137878,"score_gpt":0.2410513740747336,"score_spread":0.2237578141609458,"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."}}