{"id":"W4393716936","doi":"10.5281/zenodo.8125198","title":"Rana catesbeiana (Lithobates catesbeianus) American bullfrog Genome Version 4","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; University of Victoria","funders":"","keywords":"Bullfrog; Lithobates; Rana; Biology; Zoology; Evolutionary biology; Anatomy; Ecology","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":[0.001447438,0.002013659,0.002076014,0.003612587,0.001699927,0.001721179,0.002773303,0.001749095,0.04319056],"category_scores_gemma":[0.002279606,0.001015921,0.001249984,0.004770885,0.0004968009,0.0008833892,0.001637897,0.001789902,0.04216876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001242579,"about_ca_system_score_gemma":0.00323956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0295684,"about_ca_topic_score_gemma":0.07663265,"domain_scores_codex":[0.9991378,0.000105721,0.00006546171,0.0004297678,0.0001421832,0.0001190565],"domain_scores_gemma":[0.9991523,0.000194004,0.0001030299,0.0002208769,0.0002102338,0.0001195185],"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":[0.0006415321,0.0000737803,0.005015237,0.004348515,0.0004888522,0.0001924088,0.0003584413,0.0009191876,0.009401337,0.00163405,0.967365,0.009561741],"study_design_scores_gemma":[0.0004901882,0.00006123929,0.02369178,0.0005495517,0.0003195624,0.0002347428,0.0001357003,0.0005239651,0.001894261,0.001586348,0.9704396,0.00007302083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009964671,0.000175897,0.000327347,0.00003053761,0.00001906933,0.00001516573,0.9970667,0.0006262007,0.0007426328],"genre_scores_gemma":[0.000593562,0.00004274397,0.0005099745,0.00001882128,0.000001611841,0.00004611959,0.9982947,0.0001107126,0.0003819013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04319056,"threshold_uncertainty_score":0.1444868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606571039863955,"score_gpt":0.258397507920047,"score_spread":0.2423317975214074,"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."}}