{"id":"W4412978812","doi":"10.1139/cjz-2024-0211","title":"Using meristic and morphometric techniques to identify juvenile <i>Catostomus</i> suckers (Largescale Sucker <i>C. macrocheilus</i> , Longnose Sucker <i>C. catostomus</i> , White Sucker <i>C. commersonii</i> —Teleostei: Cypriniformes: Catostomidae) within the Peace River watershed, Alberta","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ambrose University","funders":"","keywords":"Catostomus; Sucker; Cypriniformes; Biology; Meristics; Fishery; Teleostei; Ecology; Zoology; Cyprinidae; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0004063216,0.0006282057,0.0002247258,0.001914519,0.0005104277,0.0005568375,0.0003028293,0.0001942748,0.0008465867],"category_scores_gemma":[0.0006164188,0.0002371703,0.0003046383,0.001101509,0.0004903409,0.0002850822,0.000490844,0.0002268772,0.0002613672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009382001,"about_ca_system_score_gemma":0.0007847575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07803069,"about_ca_topic_score_gemma":0.3558926,"domain_scores_codex":[0.9996952,0.00002441378,0.00001934109,0.0001038037,0.0001192176,0.00003813267],"domain_scores_gemma":[0.9994788,0.00004778595,0.0001962028,0.00003610249,0.0001655667,0.00007557761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001910283,0.00007082258,0.887185,0.00007697079,0.00009134618,0.0001333453,0.001188737,0.0005930304,0.07215003,0.0001202286,0.0002364292,0.03796301],"study_design_scores_gemma":[0.000001584141,0.0000441762,0.9977618,0.000003158834,0.00000918632,0.00006334959,0.0001895202,0.0005980593,0.00108594,0.00001672066,0.0002212668,0.000005154858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952809,0.00009535933,0.002441228,0.000006993588,0.000003243892,0.00007214738,0.00049577,0.00004131023,0.001563041],"genre_scores_gemma":[0.9803821,0.0001437136,0.01636664,0.00001601367,0.000004139384,0.00009242998,0.001058821,0.00001704626,0.001919208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9219693,"threshold_uncertainty_score":0.155153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470742839983294,"score_gpt":0.2433623194514484,"score_spread":0.2286548910516155,"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."}}