{"id":"W2267157689","doi":"10.1080/02755947.2015.1114538","title":"Modeling Effects of Length Limit Regulations on Riverine Populations of Channel Catfish","year":2016,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nebraska Game and Parks Commission","keywords":"Catfish; Overfishing; Ictalurus; Fishery; Channel (broadcasting); Limit (mathematics); Environmental science; Fishing; Fish <Actinopterygii>; Biology; Mathematics; Computer science; Telecommunications","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":[0.0006412324,0.0003883092,0.0003092704,0.0004332439,0.0004795742,0.0007938584,0.00109384,0.0008811916,0.001883552],"category_scores_gemma":[0.00228944,0.0004182927,0.0005811218,0.0003405089,0.0005865339,0.0005723516,0.0005364855,0.0005242586,0.0001281987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002837512,"about_ca_system_score_gemma":0.001413627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1313091,"about_ca_topic_score_gemma":0.1039068,"domain_scores_codex":[0.9997558,0.00007635078,0.00001145693,0.00006868973,0.00001915327,0.00006853288],"domain_scores_gemma":[0.9986936,0.00068761,0.0002538245,0.00006109619,0.0001654153,0.000138506],"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":[0.00004568428,0.00004831521,0.03331882,0.000009122899,0.00003009011,0.00003713316,0.00002988854,0.9647681,0.0004250099,0.0003152056,0.0001404803,0.0008322266],"study_design_scores_gemma":[0.00002811612,0.0001074871,0.01180135,0.000006335047,0.00003579669,0.00001414709,0.00009654972,0.987071,0.0002550973,0.000306224,0.0002654967,0.00001233345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972269,0.00002568555,0.001446544,0.00006995346,0.000005521089,0.000009249083,0.0001842784,0.00002691946,0.001005055],"genre_scores_gemma":[0.9988146,0.00001875314,0.0005058917,0.00001777819,0.000001426385,0.00001554315,0.00009509345,0.000004650457,0.0005264027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1313091,"threshold_uncertainty_score":0.2610896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225767223894124,"score_gpt":0.2076763796368569,"score_spread":0.1954187073979157,"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."}}