{"id":"W4394504093","doi":"10.6084/m9.figshare.22622636","title":"Additional file 9 of HiCAT: a tool for automatic annotation of centromere structure","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; University Health Network; Canadian Institute for Advanced Research","funders":"","keywords":"Annotation; Computer science; Centromere; Information retrieval; Computational biology; Biology; Artificial intelligence; Genetics; Chromosome","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":[0.001303069,0.002600475,0.001986965,0.003311743,0.001037702,0.002571787,0.003366312,0.00209638,0.4246413],"category_scores_gemma":[0.007388561,0.0009680105,0.001707472,0.005440727,0.0004560404,0.002063371,0.001885541,0.001704503,0.1947676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507948,"about_ca_system_score_gemma":0.001961621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223254,"about_ca_topic_score_gemma":0.02510422,"domain_scores_codex":[0.9990411,0.0001229186,0.000123611,0.0003763709,0.0001686455,0.0001673241],"domain_scores_gemma":[0.9964737,0.001843171,0.0002817101,0.0005522568,0.0006063642,0.0002426281],"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":[0.0001635925,0.00002960115,0.001274656,0.00164691,0.00005204193,0.00003965709,0.0000278489,0.0002859824,0.0002973142,0.0003816962,0.9931901,0.002610635],"study_design_scores_gemma":[0.001086274,0.00005224068,0.008341486,0.0007589161,0.0001344021,0.0002085087,0.0001260581,0.0009218084,0.001732412,0.005194542,0.9813551,0.00008810545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004725438,0.00001880799,0.00008579321,0.0000166806,0.000007227093,0.000006542991,0.9990988,0.0004817874,0.0002372159],"genre_scores_gemma":[0.0004697186,0.00002835958,0.0005331871,0.00004545868,0.000005976545,0.00007076563,0.9980375,0.0002991767,0.0005099287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4246413,"threshold_uncertainty_score":0.8206793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836025073369508,"score_gpt":0.2840807267028631,"score_spread":0.265720475969168,"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."}}