{"id":"W4393632688","doi":"10.5281/zenodo.5534983","title":"Rockfish Genome Project Data V1","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Rockfish; Computational biology; Biology; Computer science; Fishery; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001028466,0.000316904,0.0002970149,0.0002573029,0.001154173,0.0009763362,0.004290143,0.0004274118,0.004681024],"category_scores_gemma":[0.002297415,0.0003175291,0.0000985,0.0004252524,0.0003294947,0.00001867827,0.01034256,0.0005912411,0.004352637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007235023,"about_ca_system_score_gemma":0.00006837217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004813266,"about_ca_topic_score_gemma":0.000006438443,"domain_scores_codex":[0.9966935,0.0003744172,0.0004845817,0.0009490648,0.0008163801,0.0006820685],"domain_scores_gemma":[0.99608,0.00001383023,0.0001900768,0.002601867,0.0008011959,0.0003130746],"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":[0.00004536242,0.0001536261,1.152385e-7,0.0003074895,0.0001300769,0.00002381481,0.00003110013,0.000001929647,0.003429313,0.000002336888,0.982025,0.01384981],"study_design_scores_gemma":[0.0004032079,0.000405101,0.00001876314,0.00004194143,0.00003959933,0.00013147,0.0001517305,0.00004403785,0.0003281516,0.000005464246,0.998067,0.0003634962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001168661,0.0005887265,0.0004738553,0.000263836,0.0002146171,0.0005846285,0.9914303,0.00008584843,0.006241255],"genre_scores_gemma":[0.0001340552,0.00489807,0.0002740344,0.0003075943,0.0008787688,1.111366e-7,0.9914988,0.0007040201,0.001304505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01604201,"threshold_uncertainty_score":0.9999277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05423925828024862,"score_gpt":0.2916872744437056,"score_spread":0.237448016163457,"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."}}