{"id":"W2076135809","doi":"10.1111/j.1365-2400.2008.00608.x","title":"Evaluation of single‐pass backpack electric fishing for stream fish community monitoring","year":2008,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Natural Resources Canada; Fisheries and Oceans Canada; Ministry of Natural Resources","keywords":"Electrofishing; Species richness; Fishing; Catch per unit effort; Population; Abundance (ecology); Habitat; Relative species abundance; Fishery; Species diversity; Environmental science; Ecology; Biology; Statistics; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.003693935,0.0002847853,0.0002875682,0.000626819,0.0002239709,0.0003919257,0.0005134918,0.0002633093,0.0007900319],"category_scores_gemma":[0.01130563,0.0001917073,0.0002132026,0.0003217468,0.0001920536,0.0005660731,0.0004485802,0.0001317932,0.0001495715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007809221,"about_ca_system_score_gemma":0.0007942549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299645,"about_ca_topic_score_gemma":0.0853503,"domain_scores_codex":[0.9980099,0.0007383314,0.0001285299,0.0001837044,0.0008472531,0.00009247032],"domain_scores_gemma":[0.9914975,0.002768476,0.002134521,0.0004518068,0.002584877,0.0005629635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001134949,0.0002758043,0.876081,0.0001878144,0.0001548388,0.00011133,0.0003762607,0.002338136,0.005766198,0.00003879452,0.0003239033,0.113211],"study_design_scores_gemma":[0.00008416019,0.004285374,0.9708589,0.0000635183,0.0001538729,0.000183213,0.0003129687,0.01866444,0.004611803,0.00003869735,0.000723489,0.00001961442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983715,0.0001061043,0.0007524533,0.00003926332,0.000003717874,0.0000585919,0.00008365636,0.00003892394,0.0005457867],"genre_scores_gemma":[0.9968766,0.00007857812,0.002539635,0.00001800108,0.000006193439,0.00003685858,0.0001474329,0.000002768098,0.000293984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02299645,"threshold_uncertainty_score":0.04572523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05371491895585532,"score_gpt":0.2465914929516994,"score_spread":0.1928765739958441,"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."}}