{"id":"W1750429897","doi":"","title":"STATUS OF LAKE WHITEFISH (COREGONUS CLUPEAFORMIS) IN LAKE CHAMPLAIN, 2006-2010","year":2011,"lang":"en","type":"article","venue":"ScholarWorks -A service of University of Vermont Libraries (University of Vermont)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lake Champlain Sea Grant, University of Vermont; U.S. Fish and Wildlife Service; National Oceanic and Atmospheric Administration","keywords":"Coregonus clupeaformis; Fecundity; Coregonus; Fishery; Otolith; Ichthyoplankton; Biology; Range (aeronautics); Bay; Population; Abundance (ecology); Ecology; Environmental science; Geography; Oceanography; Fish <Actinopterygii>; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835851,0.0001817509,0.0001383566,0.0006686367,0.0006136356,0.0003564522,0.0002903742,0.0002606068,0.001219849],"category_scores_gemma":[0.0003793847,0.0001674414,0.0001459198,0.0005560094,0.0002712834,0.0004276259,0.0004896907,0.0001444626,0.0001860346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910894,"about_ca_system_score_gemma":0.0008590295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.256391,"about_ca_topic_score_gemma":0.6090059,"domain_scores_codex":[0.9999005,0.000006415808,0.00001016835,0.00002773521,0.00003106842,0.00002414153],"domain_scores_gemma":[0.9995751,0.00001556601,0.0001813846,0.000008029876,0.0001455726,0.00007429669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006644636,0.00002724866,0.9943715,0.00002667182,0.0000191199,0.0001001181,0.0006200985,0.00006403231,0.001448498,0.00002309157,0.0004873554,0.002745804],"study_design_scores_gemma":[0.000001080784,0.00001244416,0.9993381,0.000003827293,0.00000449973,0.0000237995,0.0002324106,0.00009780016,0.00006272123,0.000002166068,0.0002189146,0.000002178053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992589,0.0000374492,0.00001028649,0.00002961077,0.000001086131,0.000002223616,0.000295796,0.000003279256,0.0003612818],"genre_scores_gemma":[0.9978125,0.00004759213,0.00005682127,0.00002466699,0.000002633859,0.00001334881,0.0007230041,0.000001327629,0.001318082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256391,"threshold_uncertainty_score":0.5097973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678292766231346,"score_gpt":0.1631936634688725,"score_spread":0.146410735806559,"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."}}