{"id":"W4387575923","doi":"10.7717/peerj.16024","title":"Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery","year":2023,"lang":"en","type":"article","venue":"PeerJ","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Victoria; Fisheries and Oceans Canada","funders":"Research England; Fundação para a Ciência e a Tecnologia; Executive Agency for Small and Medium-sized Enterprises; U.S. Department of Commerce; University of California, Santa Barbara; Deutsche Forschungsgemeinschaft; National Oceanic and Atmospheric Administration; Commonwealth Scientific and Industrial Research Organisation; Norges Forskningsråd; Universiteit Gent; European Commission; Japan Agency for Marine-Earth Science and Technology; UK Research and Innovation; National Science Foundation","keywords":"Identification (biology); Geography; Marine ecosystem; Bycatch; Ecology; Environmental resource management; Data science; Fishery; Computer science; Ecosystem; Biology; Environmental science; Fishing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2798451,0.001571794,0.002669537,0.02144296,0.006124455,0.01713362,0.01229735,0.009381088,0.002811027],"category_scores_gemma":[0.2247986,0.001697947,0.002940339,0.01066375,0.01563122,0.01509706,0.01949486,0.01688987,0.002884312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009501187,"about_ca_system_score_gemma":0.04556134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009031522,"about_ca_topic_score_gemma":0.009067377,"domain_scores_codex":[0.8578766,0.054254,0.02853381,0.01108663,0.04423483,0.0040142],"domain_scores_gemma":[0.6067004,0.1025849,0.02740253,0.03398418,0.2135522,0.01577572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001834313,0.0004625482,0.01456186,0.008860428,0.0003549597,0.0009342341,0.04268043,0.004873628,0.01047672,0.1000867,0.08915813,0.7273669],"study_design_scores_gemma":[0.0001216819,0.0005459652,0.02429353,0.03224017,0.0003509038,0.001089492,0.06376248,0.005250844,0.006798906,0.2448712,0.6199973,0.0006775451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04266638,0.03627011,0.5150754,0.3066526,0.009597641,0.005499776,0.001899657,0.001948811,0.08038955],"genre_scores_gemma":[0.155179,0.02278732,0.7684289,0.03335278,0.002408078,0.004214909,0.003130203,0.0012328,0.009266051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2798451,"threshold_uncertainty_score":0.8880792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445722366392207,"score_gpt":0.2540955586490993,"score_spread":0.2096383349851772,"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."}}