{"id":"W175724259","doi":"10.17895/ices.pub.25258171","title":"An Interdisciplinary Assessment of Winter Flounder Stock Structure","year":2007,"lang":"en","type":"article","venue":"Open MIND","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Winter flounder; Fishing; Geography; Biological dispersal; Stock assessment; Overfishing; Stock (firearms); Estuary; Spawn (biology); Population; Fisheries management; Oceanography; Biology; Flounder; Archaeology; Fish <Actinopterygii>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002888506,0.0003965073,0.0002754451,0.007995555,0.0004215869,0.0009279303,0.000454411,0.000178407,0.0147926],"category_scores_gemma":[0.002489148,0.0001015191,0.0003060641,0.003956217,0.0000955822,0.0007050356,0.0008368906,0.0001461697,0.003102141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006521657,"about_ca_system_score_gemma":0.001239716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008478935,"about_ca_topic_score_gemma":0.03099632,"domain_scores_codex":[0.9993312,0.0001383356,0.0001098207,0.0000997499,0.0002834127,0.00003747088],"domain_scores_gemma":[0.9970373,0.0002824423,0.000356373,0.0001431786,0.001947504,0.0002333236],"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":[0.0001344902,0.0000759576,0.2110511,0.0007668684,0.00014343,0.0001535834,0.0009647356,0.0004998355,0.004837222,0.0008619474,0.02737459,0.7531363],"study_design_scores_gemma":[0.00001841861,0.0003548945,0.8353786,0.0008536977,0.0001454177,0.0002653126,0.002460971,0.001437417,0.001868087,0.0007917049,0.1563913,0.00003423632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5862132,0.02839583,0.01990177,0.002338049,0.001369169,0.002561569,0.08315841,0.0009091707,0.2751528],"genre_scores_gemma":[0.6686255,0.02338752,0.03871519,0.0004884815,0.0007301085,0.001360656,0.0502734,0.0002932878,0.2161258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0147926,"threshold_uncertainty_score":0.04948616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186319887258145,"score_gpt":0.3983629224779293,"score_spread":0.3664997236053478,"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."}}