{"id":"W4406705204","doi":"10.1093/fshmag/vuae026","title":"Advancing black bass management and conservation to benefit fish populations, fisheries, and people","year":2025,"lang":"en","type":"article","venue":"Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Fishery; Bass (fish); Fisheries management; Fish <Actinopterygii>; Catch and release; Geography; Recreational fishing; Biology; Fishing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002772406,0.0004095427,0.0002428507,0.001142242,0.001827085,0.003622775,0.0005789048,0.001134924,0.006429982],"category_scores_gemma":[0.002289476,0.0001143426,0.0001861223,0.0005237333,0.001328,0.001966179,0.002311159,0.001725118,0.0009736101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056901,"about_ca_system_score_gemma":0.005503059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01712418,"about_ca_topic_score_gemma":0.04655808,"domain_scores_codex":[0.9990138,0.0002031797,0.0000452016,0.0001196994,0.0004732967,0.0001448402],"domain_scores_gemma":[0.9986823,0.0001349213,0.0002098065,0.00003130594,0.000467763,0.0004739186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008831824,0.0002851677,0.02189626,0.0004667288,0.0000283861,0.0001377373,0.001957235,0.0002613005,0.004220421,0.01643164,0.08270936,0.8715174],"study_design_scores_gemma":[0.00004152198,0.0003946814,0.08662483,0.002992121,0.0001160569,0.0004167728,0.00950304,0.001175682,0.003068308,0.02429507,0.871312,0.00006004674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1063874,0.1634726,0.01064416,0.4902374,0.007454557,0.0001270654,0.0002399239,0.0004148759,0.2210219],"genre_scores_gemma":[0.6680055,0.1996692,0.02580299,0.04332106,0.005271723,0.00009793185,0.0002469275,0.00008927143,0.05749527],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01712418,"threshold_uncertainty_score":0.03404903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008397259897605588,"score_gpt":0.2122383145239155,"score_spread":0.2038410546263099,"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."}}