{"id":"W112887734","doi":"10.1023/a:1025500619900","title":"Ecological Monitoring for Assessing the State of the Nearshore and Open Waters of the Great Lakes","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"","keywords":"Water quality; Environmental science; Ecosystem; Environmental monitoring; Biological integrity; Environmental protection; Multitude; Environmental resource management; Ecology; Environmental planning; Geography; Environmental engineering; Political science; Biology","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":[0.0009825175,0.0002220746,0.00008201461,0.001109097,0.0004828715,0.0004642199,0.0002067481,0.000192498,0.0006662275],"category_scores_gemma":[0.001450667,0.0001135423,0.00006679705,0.001020985,0.0002204535,0.000586079,0.0004699283,0.0001622299,0.00006621397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005158343,"about_ca_system_score_gemma":0.001168009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04749358,"about_ca_topic_score_gemma":0.1572104,"domain_scores_codex":[0.9996669,0.0001537397,0.00002098977,0.0000265132,0.000103819,0.00002800565],"domain_scores_gemma":[0.9993574,0.0001654997,0.0001467721,0.00004074839,0.0001972715,0.00009225899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001286288,0.0001250374,0.7684647,0.0001108722,0.00006994761,0.0000863321,0.0006252514,0.001318954,0.005394208,0.0006872084,0.003176081,0.2198129],"study_design_scores_gemma":[0.00001077893,0.0001404318,0.9895388,0.00002802602,0.00003530638,0.00006989037,0.0006312497,0.002857849,0.000916105,0.0003420754,0.005422851,0.000006536289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796064,0.001254944,0.005208689,0.0005330102,0.00001849342,0.0001441322,0.0009056616,0.00006497348,0.0122637],"genre_scores_gemma":[0.9832665,0.00112468,0.01204928,0.0001024845,0.00003649132,0.0001304977,0.0004581332,0.000006139825,0.00282589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04749358,"threshold_uncertainty_score":0.09443426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201085328304885,"score_gpt":0.281045229080057,"score_spread":0.2609366962495685,"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."}}