{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001001621,0.0001345276,0.0003010799,0.0000893805,0.0006554701,0.00006085237,0.0004907285,0.0001144204,0.001268307],"category_scores_gemma":[0.0009480717,0.0001009459,0.0001646785,0.000329405,0.0006147975,0.0003741487,0.0003610044,0.0004959772,0.0004534047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183599,"about_ca_system_score_gemma":0.00007904047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005862168,"about_ca_topic_score_gemma":0.005516339,"domain_scores_codex":[0.9981157,0.0001714827,0.0002562276,0.0002330809,0.000693828,0.000529734],"domain_scores_gemma":[0.9985981,0.0007247226,0.0001101697,0.0001104588,0.0001687821,0.0002877447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008149837,0.0000645338,0.8246098,0.00003478822,0.0001288965,0.000304996,0.001269751,0.00007023052,0.002915753,0.00002594635,0.1691414,0.0006188645],"study_design_scores_gemma":[0.00734281,0.01259075,0.686325,0.0001451219,0.0002294867,0.0004062736,0.009692075,0.000228769,0.01180585,0.002104665,0.268449,0.0006801952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971596,0.0001162523,0.00006798793,0.01719045,0.0001268002,0.0002874875,0.0001034025,0.00001149594,0.01050013],"genre_scores_gemma":[0.9941089,0.0003351184,0.0003630183,0.0007429542,0.0002289585,0.000006691892,0.000005172568,0.00001025898,0.004198938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1382849,"threshold_uncertainty_score":0.9996447,"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."}}