{"id":"W4392446949","doi":"10.22541/au.170967563.32290483/v1","title":"Small fish biomass limits the catch potential in the High Seas","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Norges Forskningsråd; Nuclear Safety and Security Commission; Canada Research Chairs; National Aeronautics and Space Administration; National Science Foundation","keywords":"Fishing; Biomass (ecology); Fishery; Trophic level; Demersal zone; Environmental science; Demersal fish; Exclusive economic zone; Marine habitats; Oceanography; Habitat; Ecology; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004144228,0.0003700116,0.0003831973,0.0003448936,0.0004461562,0.001537654,0.0004322362,0.0004412853,0.003956565],"category_scores_gemma":[0.002616125,0.0003503449,0.0005403488,0.0005011413,0.0008061043,0.00156838,0.001106711,0.0002896901,0.000717698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005944652,"about_ca_system_score_gemma":0.000568819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091111,"about_ca_topic_score_gemma":0.0174131,"domain_scores_codex":[0.9998211,0.00003477354,0.00001871464,0.00004795784,0.00003056094,0.00004697494],"domain_scores_gemma":[0.9983732,0.0007252399,0.0004519366,0.0001366444,0.0001041793,0.00020893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004619671,0.00008527572,0.8162366,0.0003151342,0.0002743812,0.0009267602,0.0004820528,0.09609748,0.04586326,0.01184583,0.0006932837,0.026718],"study_design_scores_gemma":[0.00004938557,0.0004245314,0.8691262,0.0001346947,0.0002898427,0.0006003206,0.001872022,0.09959944,0.005570534,0.01916694,0.003094754,0.00007129212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929362,0.0001100653,0.002009039,0.00007562551,0.000004174285,0.000002522551,0.00009073469,0.00001676652,0.004754959],"genre_scores_gemma":[0.9989195,0.0001588687,0.0004592729,0.00002524267,0.000002809385,0.000004412918,0.00007283194,0.000008573099,0.0003485637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091111,"threshold_uncertainty_score":0.0216952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161021609172041,"score_gpt":0.2500360941803536,"score_spread":0.2184258780886332,"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."}}