{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001724791,0.003196985,0.002966255,0.006627402,0.001660958,0.002242369,0.003904849,0.00247648,0.08797444],"category_scores_gemma":[0.004322344,0.001454979,0.001817031,0.008880978,0.0007300187,0.001493143,0.002947244,0.002246625,0.08337259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915704,"about_ca_system_score_gemma":0.005150328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03701476,"about_ca_topic_score_gemma":0.06171202,"domain_scores_codex":[0.9988688,0.0001287239,0.0001520853,0.0003997822,0.0002468388,0.000203843],"domain_scores_gemma":[0.9982817,0.0004462175,0.0001925828,0.0004429444,0.0003890836,0.0002475686],"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":[0.0004353975,0.0000719092,0.001557375,0.003598839,0.0001703696,0.0001250796,0.0001325039,0.000877495,0.002638735,0.001244416,0.983643,0.005505006],"study_design_scores_gemma":[0.000546556,0.00004148016,0.006746843,0.0004239128,0.0001607804,0.0001383864,0.000127304,0.0005758698,0.001903151,0.001772992,0.9874815,0.00008132496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001782991,0.00003901394,0.0001101297,0.00001557827,0.000007147789,0.00001247289,0.9988779,0.0004085139,0.0003508583],"genre_scores_gemma":[0.0002223322,0.00002534624,0.0003189932,0.00001099135,9.704232e-7,0.00004976377,0.9990724,0.00009867793,0.0002005738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08797444,"threshold_uncertainty_score":0.2943038,"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."}}