{"id":"W4323356350","doi":"10.1139/cjfas-2022-0213","title":"Effects of non-native <i>Salmo trutta</i> and multiscale habitat factors on native fishes in the Driftless Area","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salmo; Brown trout; Sculpin; Trout; Cobble; Electrofishing; Occupancy; Habitat; Fishery; Ecology; Biology; Abundance (ecology); Environmental science; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007225668,0.0001550961,0.0002005512,0.000483222,0.0003720923,0.0004368954,0.0002560833,0.0001472494,0.0006888256],"category_scores_gemma":[0.0009416016,0.0001316907,0.0003109637,0.0003392209,0.0006607119,0.0002950451,0.0005144309,0.000229422,0.00008179186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008169918,"about_ca_system_score_gemma":0.000499928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04099527,"about_ca_topic_score_gemma":0.1590783,"domain_scores_codex":[0.9994671,0.0002057015,0.00004410568,0.0001288676,0.00007320209,0.00008108446],"domain_scores_gemma":[0.9987189,0.0002401942,0.0004965378,0.00006572007,0.0001194128,0.0003592849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007402366,0.00004069747,0.9978144,0.000004659852,0.00004024005,0.00002637538,0.0001528749,0.00004647415,0.0008528244,0.00001061975,0.00003126948,0.0009055095],"study_design_scores_gemma":[0.00000148441,0.00005542105,0.9995579,9.908175e-7,0.000006424678,0.00001906084,0.0001741988,0.0001068315,0.00004933591,0.000005019493,0.0000222865,0.000001059474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999034,0.00001256044,0.00001409396,0.000005977437,4.036766e-7,8.896173e-7,0.00002419291,8.375428e-7,0.00003768868],"genre_scores_gemma":[0.9998165,0.00001347726,0.00005221671,0.00001102716,0.000001615701,0.000002770815,0.00006521719,7.470517e-7,0.00003651988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04099527,"threshold_uncertainty_score":0.08151329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400761742062315,"score_gpt":0.2171555404225524,"score_spread":0.2031479230019292,"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."}}