{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003300687,0.00007164881,0.0001002851,0.0000206553,0.00006731991,0.00006250642,0.0005698083,0.00004364867,0.159461],"category_scores_gemma":[0.000003286963,0.00005756304,0.00002209538,0.0001059325,0.000124588,0.0003347156,0.001597878,0.0001270634,0.00005761176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007980206,"about_ca_system_score_gemma":0.00001447198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165875,"about_ca_topic_score_gemma":0.001307503,"domain_scores_codex":[0.9991715,0.00002636699,0.0001570124,0.0002180382,0.0002387458,0.000188357],"domain_scores_gemma":[0.9995481,0.00001700443,0.00003912902,0.0002983515,0.000007263029,0.00009019183],"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":[0.00006996158,0.0001404134,0.3951689,0.000003444483,0.00001370149,0.00002089574,0.001014357,0.00003762996,0.01825101,0.000009545946,0.001082379,0.5841877],"study_design_scores_gemma":[0.0005156422,0.0006526691,0.9040957,0.000008145217,0.000009477634,0.00001595167,0.001839452,0.001643837,0.00684625,0.0004817274,0.08364218,0.0002489532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5802526,2.89459e-7,0.0006408131,0.00005227878,0.00003148444,0.000138637,0.000005566467,3.92367e-7,0.4188779],"genre_scores_gemma":[0.9841633,3.268659e-7,0.01108672,0.00002450087,0.00002400535,0.000001670651,0.0000142288,0.000006656187,0.004678567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5839388,"threshold_uncertainty_score":0.8413074,"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."}}