{"id":"W1583653132","doi":"10.1002/rra.2787","title":"A Comparison of Electrofishing and Visual Surveying Methods for Estimating Fish Community Structure in Temperate Rivers","year":2014,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Ministry of Natural Resources","keywords":"Electrofishing; Species richness; Biomass (ecology); Community structure; Temperate climate; Ecology; Sampling (signal processing); Fishery; Fish <Actinopterygii>; Environmental science; Geography; Biology; Computer science","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":[0.004747901,0.0005403653,0.0003416898,0.002579879,0.0004186837,0.0006833431,0.0005670992,0.0002802748,0.0004583293],"category_scores_gemma":[0.007609804,0.0003746931,0.0002606237,0.001218583,0.0004515538,0.0006453496,0.000953733,0.0001494781,0.0001040796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000599102,"about_ca_system_score_gemma":0.0008326323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06509896,"about_ca_topic_score_gemma":0.2303718,"domain_scores_codex":[0.9972783,0.001012534,0.0001981173,0.0004983115,0.0008876415,0.0001251917],"domain_scores_gemma":[0.9948539,0.001942352,0.0008294548,0.0002503978,0.00189173,0.0002321387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003049969,0.00006215262,0.9252038,0.0001529496,0.0001575017,0.0000396039,0.0009418653,0.000779253,0.009973011,0.00008620861,0.0001065966,0.06219216],"study_design_scores_gemma":[0.00001232492,0.0001834967,0.9937584,0.00003118645,0.00005265925,0.00006977647,0.0006581571,0.003718097,0.001197869,0.00004628246,0.0002500796,0.00002165422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911782,0.0004391951,0.00703512,0.00001348503,0.000004613524,0.00006520544,0.0001164959,0.00003057744,0.001117086],"genre_scores_gemma":[0.9769827,0.0003261413,0.02199727,0.00001937683,0.000006111098,0.00006191244,0.0002581046,0.00001019327,0.000338222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06509896,"threshold_uncertainty_score":0.1294401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08515348073039564,"score_gpt":0.4664773014962024,"score_spread":0.3813238207658067,"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."}}