{"id":"W2068290405","doi":"10.5402/2011/820529","title":"Changes in Fish Communities of Lake Ontario Coastal Wetlands before and after Remedial Action Plans","year":2011,"lang":"en","type":"article","venue":"ISRN Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"U.S. Forest Service; Northern Research Station; Great Lakes Fishery Commission; U.S. Department of Agriculture","keywords":"Wetland; Habitat; Remedial action; Environmental science; Water quality; Hydrology (agriculture); Fish <Actinopterygii>; Ecology; Fishery; Geology; Environmental remediation; Biology; Contamination","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004454574,0.0001171921,0.000199954,0.0008185648,0.001110263,0.0005587965,0.0004440681,0.000343061,0.0008037787],"category_scores_gemma":[0.002041943,0.0001815112,0.0002225095,0.000720893,0.000821162,0.0004034306,0.0006291539,0.000243908,0.00006972587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008353345,"about_ca_system_score_gemma":0.005201383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8270012,"about_ca_topic_score_gemma":0.9596758,"domain_scores_codex":[0.9994991,0.00004848551,0.00001751324,0.00008688817,0.0001755,0.0001725149],"domain_scores_gemma":[0.998731,0.00009201038,0.000423395,0.00005444836,0.0004196537,0.0002795611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001728705,0.00004462481,0.9823871,0.00002562157,0.00004372777,0.0001573216,0.003615965,0.00029879,0.003411611,0.0001265176,0.0003609121,0.009354961],"study_design_scores_gemma":[0.000001457052,0.00001597537,0.9990488,0.000001378427,0.00000298684,0.000005916562,0.0005380507,0.00006179291,0.00004197014,0.000004643272,0.0002752239,0.00000172068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992236,0.00002587275,0.00003964067,0.00004566683,0.000001145699,0.000008459067,0.0001488173,0.000001821861,0.0005048845],"genre_scores_gemma":[0.9987504,0.00003281915,0.0001261434,0.00001815577,0.000001665666,0.00001369748,0.0001778247,0.000001215781,0.0008780215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1729988,"threshold_uncertainty_score":0.3480352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947925709356106,"score_gpt":0.2059753231019294,"score_spread":0.1864960660083683,"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."}}