{"id":"W4411265403","doi":"10.1139/cjfas-2024-0248","title":"Indirect estimation of contact selectivity for gill nets using hierarchical models","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Statistics; Biology; Biological system; Ecology; Environmental science; Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003096125,0.00004994732,0.0001358101,0.0001855419,0.0001347789,0.00007256911,0.00007457013,0.00002920485,0.000004937806],"category_scores_gemma":[0.0001744389,0.00004342837,0.00002585209,0.000256712,0.0001120645,0.0002374225,0.000002062149,0.00005756585,2.27901e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003261119,"about_ca_system_score_gemma":0.0004693921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000415845,"about_ca_topic_score_gemma":0.0008292411,"domain_scores_codex":[0.9995731,0.00001365551,0.0001807328,0.00005064212,0.00006896629,0.0001128835],"domain_scores_gemma":[0.9996629,0.0001233156,0.00005329959,0.00002736668,0.00003834683,0.00009471711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006169723,0.000004185424,0.003080332,0.00004916927,0.00003611772,0.000001496171,0.0008965243,0.9542197,0.0001231561,0.001022823,0.0002310517,0.0403293],"study_design_scores_gemma":[0.0001262666,0.00005556096,0.000638857,0.0000776183,0.00001365851,0.000007626873,0.0001526887,0.9936029,0.0004766228,0.004748947,0.00005490857,0.00004428868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5849726,0.0004573192,0.4133789,0.000355858,0.0002768564,0.000058234,0.000003879771,0.000004945364,0.00049141],"genre_scores_gemma":[0.9096307,0.0000120686,0.09029676,0.00003577235,0.00001297416,6.495335e-7,3.378151e-7,0.000002542956,0.000008208997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3246581,"threshold_uncertainty_score":0.1770958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689670549738369,"score_gpt":0.2467136480042753,"score_spread":0.2198169425068916,"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."}}