{"id":"W4237447107","doi":"10.1515/iupac.84.0582","title":"Gene Rearrangement","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Gene; Biology; Genetics; Computational biology","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":[],"consensus_categories":[],"category_scores_codex":[0.000914524,0.001284196,0.001370737,0.003315267,0.001048039,0.002857111,0.002204475,0.001903807,0.1294132],"category_scores_gemma":[0.007487067,0.0005406335,0.001490954,0.006029977,0.0003828017,0.001478499,0.001579932,0.00168393,0.09662289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308676,"about_ca_system_score_gemma":0.002652864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121282,"about_ca_topic_score_gemma":0.02394881,"domain_scores_codex":[0.9985589,0.000167095,0.0002388251,0.0006150687,0.0002330203,0.0001870335],"domain_scores_gemma":[0.9974757,0.0008734025,0.0003295396,0.0006141346,0.0005160348,0.0001911794],"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":[0.0002573439,0.00002585347,0.00549163,0.00202915,0.00008927619,0.0001252419,0.00005249643,0.0004013835,0.0004299714,0.001606032,0.9782125,0.01127904],"study_design_scores_gemma":[0.0001829834,0.00002337939,0.008146201,0.0006534436,0.00007113002,0.0002827314,0.00008654042,0.0002543273,0.0004095866,0.002443956,0.9874184,0.00002739557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002684044,0.0002036742,0.00014263,0.0001019153,0.00003600041,0.00001414638,0.9972403,0.000259219,0.001733682],"genre_scores_gemma":[0.0009290105,0.000223678,0.0005318661,0.0001892931,0.00001299865,0.0000946881,0.9965318,0.00009069942,0.001395873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1294132,"threshold_uncertainty_score":0.4329302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872153126022877,"score_gpt":0.3389033593567979,"score_spread":0.3201818280965691,"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."}}