{"id":"W6921186802","doi":"10.6084/m9.figshare.4042422.v2","title":"Maize B104 (beta) genome assembly and annotation","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annotation; Genome; Reference genome; Whole genome sequencing; Sequence assembly; Gene Annotation; Sequence (biology); Set (abstract data type)","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":[0.0009013501,0.001410511,0.001631099,0.005219175,0.002142322,0.002074536,0.002621203,0.00120679,0.02695985],"category_scores_gemma":[0.001869421,0.001239573,0.001986861,0.01028309,0.0003725656,0.0009262917,0.001510078,0.002606304,0.03752301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593494,"about_ca_system_score_gemma":0.00242999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021339,"about_ca_topic_score_gemma":0.02051074,"domain_scores_codex":[0.9992686,0.00005306209,0.00006815641,0.0002365285,0.0002442181,0.0001294243],"domain_scores_gemma":[0.9993966,0.00005171023,0.00008794151,0.0001034894,0.0002625193,0.00009773595],"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":[0.002889069,0.000175347,0.003704873,0.004241282,0.0002342927,0.0008374043,0.001149104,0.002748695,0.3963643,0.006201498,0.5034084,0.07804568],"study_design_scores_gemma":[0.0004174888,0.0002403622,0.02337602,0.0004428305,0.0002669844,0.0004992609,0.000178889,0.002610593,0.04684932,0.002751474,0.9221424,0.0002242397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01873833,0.00096317,0.03187182,0.0003801154,0.0003206019,0.00117219,0.9201883,0.0100582,0.01630729],"genre_scores_gemma":[0.00887595,0.0006390507,0.04664822,0.0001846163,0.00004167348,0.000891111,0.9341762,0.003190488,0.005352729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02695985,"threshold_uncertainty_score":0.09018964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08072115112962587,"score_gpt":0.3377362971554694,"score_spread":0.2570151460258435,"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."}}