{"id":"W1813666532","doi":"10.22621/cfn.v128i2.1564","title":"Effectiveness of stream sampling methods in capturing non-native Rusty Crayfish (&lt;em&gt;Orconectes rusticus&lt;/em&gt;) in Ontario","year":2014,"lang":"en","type":"article","venue":"The Canadian Field-Naturalist","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Electrofishing; Crayfish; Fishery; Sampling (signal processing); Population; Biology; Ecology; Habitat; Physics","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":[0.001047224,0.0002683848,0.0002948374,0.0006260429,0.0009356836,0.0007366668,0.0004538867,0.0001979532,0.0005089139],"category_scores_gemma":[0.002734273,0.0002974685,0.0002092234,0.0005180978,0.0006358617,0.0002943178,0.0004962482,0.000185996,0.0001179453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003453218,"about_ca_system_score_gemma":0.003771832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6235626,"about_ca_topic_score_gemma":0.8889863,"domain_scores_codex":[0.9983873,0.0002341937,0.0001318483,0.000285886,0.0007859524,0.0001747913],"domain_scores_gemma":[0.9977157,0.0003795379,0.000701857,0.0001101638,0.0008887879,0.0002039887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004182509,0.00004978749,0.9498925,0.0001449619,0.00006327061,0.0001189805,0.001738167,0.0004498622,0.02102272,0.00003884045,0.0001820272,0.02588063],"study_design_scores_gemma":[0.00001229515,0.000243945,0.9939184,0.00002381362,0.00004118244,0.00007838814,0.0005078036,0.0009609007,0.003345417,0.00001301672,0.0008447829,0.000009999579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981583,0.0001929472,0.0004265968,0.00002074617,0.000001971631,0.00003879357,0.0001025376,0.00001004651,0.001048055],"genre_scores_gemma":[0.9963084,0.0002866659,0.002034281,0.00002673756,0.000002576689,0.00003645639,0.0003411804,0.000005058681,0.0009585982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3764374,"threshold_uncertainty_score":0.7573085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596345565873142,"score_gpt":0.2590685368846283,"score_spread":0.2431050812258969,"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."}}