{"id":"W4404484837","doi":"10.5531/cbc.ncep.0097","title":"Great Lakes Under Stress: Invasive Species as Agents of Ecosystem Change","year":2011,"lang":"en","type":"report","venue":"","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem; Invasive species; Environmental science; Ecology; Stress (linguistics); Geography; Environmental resource management; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003762083,0.0002973276,0.00009428334,0.0002332739,0.0008815847,0.0007783949,0.0003233628,0.0006448473,0.004925866],"category_scores_gemma":[0.0004951505,0.0001240664,0.0001303128,0.0002599484,0.0004254646,0.0008184715,0.001016998,0.0004582386,0.0002980088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138447,"about_ca_system_score_gemma":0.001676134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067536,"about_ca_topic_score_gemma":0.1512671,"domain_scores_codex":[0.9998766,0.0000363473,0.000004608709,0.000007978664,0.00003970908,0.00003469935],"domain_scores_gemma":[0.9997111,0.0001176533,0.00003914103,0.000007617954,0.0000423875,0.00008212864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002005625,0.0009423041,0.2985871,0.001106059,0.00005624531,0.005237428,0.1006626,0.008786008,0.01500669,0.0331572,0.2560807,0.2801772],"study_design_scores_gemma":[0.00002844879,0.0005727177,0.2359174,0.000526998,0.00003550774,0.001263442,0.04182507,0.00284505,0.003214247,0.007113265,0.7066033,0.00005445977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346854,0.006106464,0.003043071,0.03611121,0.0004572799,0.0002513903,0.0003998037,0.0001580763,0.2187873],"genre_scores_gemma":[0.8377059,0.01449557,0.00330179,0.002231352,0.0005529908,0.0001129672,0.0004794631,0.0000305402,0.1410892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9693246,"threshold_uncertainty_score":0.06099361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08173166903764141,"score_gpt":0.2409897296269627,"score_spread":0.1592580605893212,"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."}}