{"id":"W7094317607","doi":"","title":"POPULATION DYNAMICS AND MOVEMENT OF \\nCHANNEL CATFISH \\nIN THE RED RIVER OF THE NORTH","year":2015,"lang":"","type":"article","venue":"Insecta mundi","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catfish; Trophy; Channel (broadcasting); Population; Ictalurus; Ictaluridae","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":[0.0002131132,0.0001066952,0.000109315,0.0004147461,0.0003313778,0.000335475,0.0002703521,0.0001438925,0.0006882524],"category_scores_gemma":[0.000440959,0.0001150707,0.0001329003,0.0003420971,0.0003099313,0.0002260028,0.0002831573,0.0001631397,0.0001149196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233734,"about_ca_system_score_gemma":0.000652809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3019338,"about_ca_topic_score_gemma":0.5999098,"domain_scores_codex":[0.9998763,0.00002010871,0.000006372115,0.00004863823,0.00002412566,0.00002453798],"domain_scores_gemma":[0.9996498,0.00004962675,0.0001002577,0.00001988286,0.000114193,0.00006630547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003089017,0.00001828649,0.9922126,0.000008960792,0.00002389887,0.00007068067,0.001347419,0.000248373,0.002116624,0.00005082637,0.0001178172,0.003753575],"study_design_scores_gemma":[0.000001487634,0.00001866494,0.9987361,0.000003582752,0.000005920771,0.00002534757,0.0005705747,0.0003870909,0.00006521672,0.000007153934,0.0001762463,0.000002719035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997442,0.00001528889,0.00002997339,0.000009464859,3.922476e-7,0.000001621626,0.00004046302,0.000001277759,0.0001573145],"genre_scores_gemma":[0.9990729,0.00004221337,0.0001423822,0.00001217123,6.785053e-7,0.000006396843,0.0001254663,7.248452e-7,0.0005970759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3019338,"threshold_uncertainty_score":0.6003526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458959741364875,"score_gpt":0.2005727159762609,"score_spread":0.1859831185626122,"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."}}