{"id":"W2229163389","doi":"","title":"Preliminary data on cold-water corals and large sponges by-catch from Spanish/EU bottom trawl groundfish surveys in NAFO Regulatory Area (Divs. 3LMNO) and Canadian EEZ (Div. 3L): 2005-2007 period","year":2023,"lang":"en","type":"other","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Groundfish; Bycatch; Fishing; Geography; Reef; Coral; Invertebrate; Coral reef; Oceanography; Ecology; Biology; Fisheries management; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01140158,0.0007460146,0.0008474392,0.0004259136,0.0005741433,0.0009825556,0.001214057,0.0006544972,0.003274325],"category_scores_gemma":[0.00320082,0.0006820674,0.00008277536,0.000556763,0.0008137412,0.000905139,0.002316415,0.00118732,0.001029666],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006194107,"about_ca_system_score_gemma":0.001966034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2222249,"about_ca_topic_score_gemma":0.7827362,"domain_scores_codex":[0.9877574,0.0005151887,0.0006597205,0.002100066,0.007201357,0.001766233],"domain_scores_gemma":[0.996427,0.0009337314,0.0001795217,0.001012982,0.0005731469,0.0008736126],"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":[0.00006652737,0.0002063692,0.02170642,0.0000772991,0.0001491896,0.0002801598,0.0002277059,0.00000125731,0.00002309542,0.0001254897,0.973416,0.003720461],"study_design_scores_gemma":[0.0009079506,0.0002054429,0.123326,0.0003027207,0.00002017146,0.00001728785,0.0002979754,0.000186087,0.000005402194,0.0006068874,0.8733793,0.0007447141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1278134,0.005867799,0.00001772825,0.007171331,0.001543996,0.004935651,0.07709021,0.0006437462,0.7749161],"genre_scores_gemma":[0.6003731,0.00173503,0.00003063803,0.0005745703,0.0005504998,0.0002988834,0.003848599,0.0006508658,0.3919378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5605113,"threshold_uncertainty_score":0.9997482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09929960278541342,"score_gpt":0.2872660265766258,"score_spread":0.1879664237912123,"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."}}