{"id":"W2139832281","doi":"10.1093/icesjms/fsq156","title":"Development of the EcoQO for the North Sea fish community","year":2010,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"European Commission; Scottish Government","keywords":"Groundfish; Fishing; Demersal zone; Demersal fish; Fish stock; Fishery; Stock assessment; Fish <Actinopterygii>; Fisheries management; Marine fish; Geography; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.02232218,0.001275752,0.0006557798,0.01049878,0.0009403788,0.002759166,0.001719124,0.0007949235,0.005603597],"category_scores_gemma":[0.01731881,0.0004914953,0.001183373,0.005190991,0.000720995,0.00275784,0.004393081,0.001830666,0.002471806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006861974,"about_ca_system_score_gemma":0.01386231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07412309,"about_ca_topic_score_gemma":0.06187576,"domain_scores_codex":[0.99038,0.001849508,0.001450493,0.0007913116,0.004817426,0.0007112092],"domain_scores_gemma":[0.955963,0.001460317,0.003697849,0.001402198,0.03407778,0.003398791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004403901,0.0005125624,0.3734143,0.001536636,0.000215617,0.000232799,0.00124013,0.005918967,0.006767264,0.026805,0.09040982,0.4925065],"study_design_scores_gemma":[0.0001058002,0.0006866275,0.5063287,0.001542362,0.00006329422,0.0001794156,0.001822365,0.007175233,0.003245501,0.009460907,0.4692211,0.0001688391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1923767,0.006228267,0.3297704,0.01554268,0.003775086,0.02764021,0.1657705,0.003285725,0.2556106],"genre_scores_gemma":[0.2924684,0.002884752,0.4766697,0.003063522,0.0005191328,0.0206089,0.1454137,0.001087731,0.05728406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07412309,"threshold_uncertainty_score":0.1473833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716931874155801,"score_gpt":0.2737648196906332,"score_spread":0.2465955009490751,"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."}}