{"id":"W2531828932","doi":"10.1007/s00267-016-0775-2","title":"Telemetry-Determined Habitat Use Informs Multi-Species Habitat Management in an Urban Harbour","year":2016,"lang":"en","type":"article","venue":"Environmental Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Wildlife Federation; Fisheries and Oceans Canada; University of Toronto; Toronto and Region Conservation Authority; Carleton University","funders":"Great Lakes Fishery Commission","keywords":"Habitat; Ecology; Fishery; Perch; Bass (fish); Invasive species; Wetland; Biology; Geography; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003143094,0.0001798105,0.0001823776,0.0006091006,0.0004912335,0.000556174,0.0003944555,0.0002857973,0.0009237741],"category_scores_gemma":[0.0009929191,0.0002208488,0.0001528043,0.0006662764,0.0005106318,0.0003212129,0.0005155292,0.0002238718,0.0001548832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006996118,"about_ca_system_score_gemma":0.0004760875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07054053,"about_ca_topic_score_gemma":0.2435101,"domain_scores_codex":[0.99979,0.00008466741,0.000009106954,0.00004072783,0.00002509128,0.00005038235],"domain_scores_gemma":[0.9991713,0.0001909713,0.0003204989,0.0000528085,0.0001062537,0.0001581733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005939077,0.00007021052,0.9953296,0.00000463218,0.00003051428,0.00006427886,0.0006186949,0.0003017911,0.001180091,0.0000154259,0.00007110572,0.002254359],"study_design_scores_gemma":[9.684809e-7,0.00003062044,0.9978566,0.000001695473,0.000005310014,0.0000212704,0.0007493543,0.001195685,0.00008070644,0.00001245348,0.00004281723,0.000002531729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998034,0.000003815231,0.00004138388,0.00000853267,5.252042e-7,0.000001161835,0.00002563914,0.000001100895,0.0001145703],"genre_scores_gemma":[0.9997171,0.000005818029,0.00009552611,0.000004224669,9.083369e-7,0.000002634609,0.00003567719,8.802324e-7,0.0001372227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07054053,"threshold_uncertainty_score":0.1402599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143819244578273,"score_gpt":0.2105686362490808,"score_spread":0.1961867117912535,"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."}}