{"id":"W4394391538","doi":"10.6084/m9.figshare.21215777.v2","title":"A reference genome for Bluegill Sunfish (Centrarchidae: Lepomis macrochirus)","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centrarchidae; Lepomis macrochirus; Lepomis; Biology; Zoology; Evolutionary biology; Fish <Actinopterygii>; Fishery; Micropterus","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008111083,0.0002822364,0.0002168156,0.00009418567,0.0002862071,0.0001107985,0.0009160682,0.0003217309,0.4726395],"category_scores_gemma":[0.0006346528,0.0003218042,0.00018993,0.0001151591,0.00001603996,0.000003442781,0.0003387298,0.0002695532,0.0009242708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003336059,"about_ca_system_score_gemma":0.0002247545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000944609,"about_ca_topic_score_gemma":0.00004869101,"domain_scores_codex":[0.9982653,0.00006931994,0.0003608305,0.0007516946,0.0002236354,0.0003291974],"domain_scores_gemma":[0.9982361,0.00003182381,0.0003327795,0.001083355,0.0002025622,0.0001133528],"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":[0.00003697999,0.00006171499,1.435103e-7,0.000314009,0.00005804731,0.000001539586,0.000004848224,0.000004436028,0.002598552,0.000007490915,0.9967979,0.0001143885],"study_design_scores_gemma":[0.0002754462,0.00009013191,0.00003831624,0.00005517408,0.00002767045,0.00001198151,0.00001382008,0.000001934814,0.002360319,0.000004316625,0.996733,0.0003879079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000115813,0.0004850921,0.000003362041,0.00006989845,0.0002075999,0.0006857968,0.9981824,0.00002364211,0.0003306608],"genre_scores_gemma":[0.00006859613,0.0001409597,0.00003376255,0.0004854121,0.0003184143,0.001840209,0.9937698,0.00004465678,0.003298191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4717152,"threshold_uncertainty_score":0.9999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06087781069693693,"score_gpt":0.3056613343073917,"score_spread":0.2447835236104547,"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."}}