{"id":"W2186173855","doi":"10.22215/etd/2008-09169","title":"The effects of fishing-induced selection on physiological and life-history traits in Largemouth bass (Micropterus salmoides): a recreational angling perspective","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"Natural Sciences and Engineering Research Council of Canada; University of Illinois at Urbana-Champaign; Leibniz-Gemeinschaft; Leibniz-Institut für Gewässerökologie und Binnenfischerei","keywords":"Micropterus; Fishing; Fishery; Bass (fish); Recreational fishing; Selection (genetic algorithm); Geography; Biology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003378192,0.0001487406,0.0001097059,0.0001830638,0.0002487841,0.0003412456,0.0001303759,0.000182287,0.001855786],"category_scores_gemma":[0.000652218,0.00008600139,0.0002250094,0.0001779656,0.0003000669,0.0001322713,0.0002804828,0.0003311305,0.0001669254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030075,"about_ca_system_score_gemma":0.0001945252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002293764,"about_ca_topic_score_gemma":0.01249255,"domain_scores_codex":[0.9998181,0.0000789496,0.00001199388,0.00003325033,0.00002397612,0.00003372959],"domain_scores_gemma":[0.9994381,0.0001653022,0.0001475699,0.00003537236,0.00006219124,0.000151448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002790976,0.001024894,0.7831911,0.00006345764,0.0002841925,0.0004012336,0.0006233709,0.0003776984,0.1864842,0.0001854627,0.0003087585,0.02426468],"study_design_scores_gemma":[0.000006239557,0.0003404446,0.9983359,0.000001745158,0.0000171129,0.00004341039,0.0001288255,0.0001166832,0.0009340472,0.00002015222,0.00005214377,0.000003356772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997918,0.000020945,0.0000155839,0.00001072296,0.000001267487,8.064193e-7,0.00001698005,5.218963e-7,0.0001412999],"genre_scores_gemma":[0.999393,0.00003874267,0.00005049797,0.00002333468,0.000002644623,0.000003806652,0.00006281016,0.000002239209,0.0004229263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002293764,"threshold_uncertainty_score":0.006208241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208939406088286,"score_gpt":0.2242121044389196,"score_spread":0.2121227103780368,"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."}}