{"id":"W2611680650","doi":"10.1016/j.fishres.2017.04.004","title":"Bomb radiocarbon analyses validate and inform age determination of longnose skate (Raja rhina) and big skate (Beringraja binoculata) in the north Pacific Ocean","year":2017,"lang":"en","type":"article","venue":"Fisheries Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Marine Fisheries Service; Fisheries and Oceans Canada; North Pacific Research Board","keywords":"Skate; Raja; Otolith; Fishery; Oceanography; Radiocarbon dating; Bay; Geography; Archaeology; Geology; Biology; Fish <Actinopterygii>; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00162136,0.000191162,0.0002762235,0.0002070356,0.0006917245,0.0006954322,0.0008751603,0.00009849971,0.0002607984],"category_scores_gemma":[0.0004698264,0.0001420279,0.00004790333,0.000486624,0.002085237,0.0007689731,0.001393724,0.0005035351,0.000006672225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007195552,"about_ca_system_score_gemma":0.00002546955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006654193,"about_ca_topic_score_gemma":0.006807595,"domain_scores_codex":[0.9973578,0.0002168734,0.0003159709,0.0004274803,0.001065802,0.000616047],"domain_scores_gemma":[0.9985421,0.0002096259,0.0001226458,0.0009336302,0.00004982585,0.0001421877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008824073,0.00004407154,0.9313295,0.00009741385,0.00001068823,0.0001217471,0.001985233,0.000002487406,0.0003415593,0.00002484638,0.0003918944,0.06556235],"study_design_scores_gemma":[0.0004244141,0.0002545068,0.9701937,0.00001584543,0.00000751894,0.00001469284,0.0009913155,0.001377332,0.0005049485,0.0004120291,0.02562745,0.0001761969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056856,0.00002368764,0.000006436517,0.0006383542,0.00003602389,0.0004157775,0.00001913789,0.00001084312,0.09316416],"genre_scores_gemma":[0.9942859,0.000900484,0.0001346529,0.00001658141,0.00003394703,0.00003227141,0.00002936774,0.00001892049,0.004547839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08861632,"threshold_uncertainty_score":0.9999606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115832089062487,"score_gpt":0.3617089277128606,"score_spread":0.2458768386503736,"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."}}