{"id":"W3208963707","doi":"10.17912/micropub.biology.000494","title":"Sequenced Breakpoints of Crossover Suppressor/Inversion qC1","year":2021,"lang":"en","type":"article","venue":"PubMed","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health","keywords":"Crossover; Breakpoint; Computer science; Inversion (geology); Conceptualization; Chromosomal inversion; Computational biology; Theoretical computer science; Algorithm; Biology; Genetics; Chromosome; Artificial intelligence; Paleontology; Karyotype","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":[0.0004308423,0.0005095559,0.0003010704,0.00135929,0.0007594881,0.0008900816,0.0006195575,0.0009701137,0.04564469],"category_scores_gemma":[0.002779452,0.0004188664,0.0005999011,0.0008892252,0.0006679549,0.001157994,0.0006446338,0.002192001,0.00561266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006457212,"about_ca_system_score_gemma":0.0004816394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004586683,"about_ca_topic_score_gemma":0.006921187,"domain_scores_codex":[0.9997144,0.00003553207,0.00002015635,0.00009118384,0.0001082686,0.0000305055],"domain_scores_gemma":[0.9983386,0.0006749902,0.0001977921,0.0004922005,0.0001850581,0.000111353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001399584,0.0001732706,0.01506335,0.001261317,0.0002216526,0.004167885,0.001446091,0.007297449,0.4969308,0.1622617,0.05707677,0.2527001],"study_design_scores_gemma":[0.0003356051,0.0003652505,0.05138599,0.0005744364,0.0003128048,0.00641167,0.001267375,0.02467998,0.2706875,0.2203274,0.4232373,0.0004146924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3918379,0.002046007,0.4520034,0.008007731,0.002553453,0.0001975535,0.04059115,0.018776,0.08398681],"genre_scores_gemma":[0.8060101,0.00111363,0.1284079,0.001062448,0.0001712983,0.0001098313,0.02773475,0.005959278,0.02943081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04564469,"threshold_uncertainty_score":0.1526967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343532450957395,"score_gpt":0.2112989280777453,"score_spread":0.1978636035681713,"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."}}