{"id":"W2022596034","doi":"10.1080/14634980802690790","title":"Filling a data gap – Lake whitefish (<i>Coregonus clupeaformis</i>) index netting in the North Channel of Lake Huron","year":2009,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Coregonus clupeaformis; Netting; Fishery; Christian ministry; Fishing; Coregonus; Geography; Channel (broadcasting); Index (typography); Fish <Actinopterygii>; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00288307,0.0002618213,0.0004541322,0.0001319521,0.0003569635,0.00003303756,0.001216088,0.00005325626,0.0001487379],"category_scores_gemma":[0.00005169282,0.0002103991,0.00004944292,0.0006436851,0.00005299257,0.0003124169,0.0007396838,0.0002060283,0.0001262914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252122,"about_ca_system_score_gemma":0.00001320196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002865737,"about_ca_topic_score_gemma":0.3835244,"domain_scores_codex":[0.9968692,0.0002840463,0.0009459155,0.0006345229,0.0005347212,0.000731567],"domain_scores_gemma":[0.998118,0.0001396091,0.0005261062,0.001132109,0.000006474145,0.00007765291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009182819,0.001130385,0.6971959,0.002425247,0.0002323866,0.000162373,0.00814661,0.01705469,4.318778e-7,0.001404308,0.2148475,0.0573083],"study_design_scores_gemma":[0.0009387283,0.000258692,0.9211986,0.0002633593,0.00005585161,0.000005454102,0.002303632,0.02916947,2.143394e-7,0.0008875543,0.04463158,0.0002868829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.786041,0.0005194243,0.008956394,0.05917031,0.001297975,0.0123792,0.0002279636,0.0003140028,0.1310938],"genre_scores_gemma":[0.9898262,0.0003266145,0.0004355077,0.008852722,0.00004736782,0.00009450697,0.0001264906,0.00001440296,0.0002761638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3832378,"threshold_uncertainty_score":0.8579826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128035514750239,"score_gpt":0.260239464816019,"score_spread":0.2289591096685166,"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."}}