{"id":"W4401462607","doi":"10.1111/fme.12733","title":"Balancing boat‐electrofishing sampling effort against costs for nearshore fish communities in the Toronto waterfront, Lake Ontario","year":2024,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto and Region Conservation Authority; University of Toronto; University of Alberta","funders":"Mitacs","keywords":"Electrofishing; Fishery; Fish <Actinopterygii>; Sampling (signal processing); Geography; Fishing; Ecology; Environmental science; Biology; Engineering","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":[0.0008144446,0.0001667286,0.0001681774,0.0005532488,0.0009972337,0.0005394444,0.0005235201,0.0001765398,0.0007941145],"category_scores_gemma":[0.003731233,0.0001975593,0.0002182362,0.0009743692,0.000438686,0.0004415401,0.0004552777,0.0001265169,0.00008155665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01341602,"about_ca_system_score_gemma":0.007850855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9585294,"about_ca_topic_score_gemma":0.9917151,"domain_scores_codex":[0.9994282,0.0001226261,0.00003564386,0.0001284332,0.0001747356,0.0001103444],"domain_scores_gemma":[0.9978482,0.0003723936,0.000606186,0.0001033363,0.0008527077,0.000217271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000704474,0.00001314085,0.9874631,0.00003636129,0.00006502644,0.00005892177,0.0008778649,0.002082722,0.001360005,0.00006904182,0.0003078167,0.007595506],"study_design_scores_gemma":[0.000002664442,0.00002098436,0.9965671,0.000008390178,0.00001653778,0.00001174435,0.0005527578,0.002176164,0.0001653272,0.00002089619,0.0004526557,0.000004816424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983229,0.00009950511,0.00055059,0.00005769121,0.000001774142,0.00001568306,0.0003121159,0.000009454755,0.0006302849],"genre_scores_gemma":[0.9985201,0.00005163217,0.0006065624,0.0000133707,0.000001078306,0.00001121974,0.000217444,0.00000294478,0.0005756462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04147065,"threshold_uncertainty_score":0.09734052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467045367381028,"score_gpt":0.2181907122877523,"score_spread":0.203520258613942,"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."}}