{"id":"W3206855503","doi":"","title":"Great Lakes coastal wetlands as suitable habitat for invasive mute swans","year":2020,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wetland; Habitat; Fishery; Waterfowl; Environmental science; Geography; Invasive species; Ecology; Oceanography; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001757655,0.0001370736,0.0001296658,0.0006478646,0.0007593401,0.0007753548,0.0002019792,0.0002083218,0.002149244],"category_scores_gemma":[0.0004433537,0.0001031256,0.00009358121,0.0003813641,0.0004418165,0.0004634234,0.0008741653,0.0001393844,0.0001209323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008606,"about_ca_system_score_gemma":0.0005499106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460747,"about_ca_topic_score_gemma":0.1201144,"domain_scores_codex":[0.9998891,0.0000281444,0.000004792807,0.00001417257,0.00001764993,0.00004615204],"domain_scores_gemma":[0.9998037,0.00003404191,0.00005968232,0.00001109864,0.00002807035,0.00006331896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004960189,0.0001176911,0.9531264,0.00007556895,0.00003723782,0.001092296,0.003102534,0.0002276596,0.01939515,0.001160276,0.0007163351,0.02045277],"study_design_scores_gemma":[0.0000047644,0.00006045805,0.9919761,0.00001865379,0.00002421949,0.0003096567,0.005707548,0.0002843475,0.000440997,0.0001372109,0.001031369,0.000004614672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987757,0.00003372155,0.00001978878,0.00001934513,0.000001351364,0.000003293001,0.00001925141,0.000001189039,0.001126465],"genre_scores_gemma":[0.9995794,0.00002706739,0.00009090697,0.000008487181,0.000001091229,0.000002653203,0.00001782846,7.080841e-7,0.0002717446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460747,"threshold_uncertainty_score":0.02904487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07109059388215158,"score_gpt":0.3117450111557225,"score_spread":0.2406544172735709,"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."}}