{"id":"W6965027672","doi":"10.3389/fmars.2023.1031485.s001","title":"DataSheet_1_Quantifying the effects of extreme events and oceanographic variability on the spatiotemporal biomass and distribution of two key euphausiid prey species.docx","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Fishing; Marine ecosystem; Ecosystem; Spring bloom; Sea surface temperature; Climate change; Krill","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004875106,0.0002032311,0.0003189396,0.0000622911,0.000185924,0.00004211738,0.0003864134,0.0001312398,0.006614385],"category_scores_gemma":[0.002319855,0.0001059752,0.00009461148,0.0003826629,0.00006812272,0.00005851929,0.0001041964,0.0002472778,0.0001235336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002260057,"about_ca_system_score_gemma":0.00002409847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457464,"about_ca_topic_score_gemma":0.0009796306,"domain_scores_codex":[0.9984676,0.0003244104,0.0003056725,0.0003668978,0.000341332,0.000194051],"domain_scores_gemma":[0.997415,0.001665864,0.0003078246,0.0004882507,0.00006430072,0.00005876485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001437005,0.00002217866,0.01258458,0.000867645,0.00007000558,0.000004012267,0.000009996382,0.00008701997,0.000001222118,0.000002110849,0.9859557,0.0003812182],"study_design_scores_gemma":[0.0004560567,0.0004178572,0.79511,0.003773322,0.000378147,0.000004460258,0.00003717546,0.01167611,0.00005231346,0.0008444543,0.1867584,0.0004916852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02202765,0.0003644096,0.000002198594,0.00009372641,0.000095155,0.0002786456,0.9771175,0.00001269838,0.000008018093],"genre_scores_gemma":[0.2295951,0.0001131081,0.00000311715,0.0000198244,0.0000514495,0.000004197498,0.7702045,0.000001915588,0.00000676842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7991973,"threshold_uncertainty_score":0.9942937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07087892277146715,"score_gpt":0.2549946125072828,"score_spread":0.1841156897358157,"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."}}