{"id":"W2004507292","doi":"10.1126/science.1084846","title":"Ecological Consequences of a Century of Warming in Lake Tanganyika","year":2003,"lang":"en","type":"article","venue":"Science","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":408,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental science; Global warming; Flushing; Productivity; Mixing (physics); Ecology; Climate change; Oceanography; Climatology; Atmospheric sciences; Geology; 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":[0.0001681624,0.0001529378,0.0001166338,0.0003952723,0.00122613,0.0005177556,0.0001470011,0.0004366906,0.00159987],"category_scores_gemma":[0.0004292743,0.0001015424,0.0001697343,0.0005322374,0.0007671801,0.0004381552,0.0009274791,0.0004399173,0.00007882863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479005,"about_ca_system_score_gemma":0.0006855857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06736272,"about_ca_topic_score_gemma":0.1563385,"domain_scores_codex":[0.9999238,0.00001243754,0.000006852547,0.0000103603,0.00001389928,0.00003260244],"domain_scores_gemma":[0.9997854,0.0000154171,0.00007420665,0.000009903029,0.00004134857,0.00007376932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008021687,0.00009163268,0.9159234,0.0002441689,0.0001683614,0.004786769,0.005981933,0.004102814,0.0271226,0.001442825,0.005323497,0.03400988],"study_design_scores_gemma":[0.000008375428,0.00003488697,0.9941029,0.00001626182,0.00003011721,0.0002689969,0.001796709,0.0003522512,0.0004089526,0.000351531,0.002618306,0.00001078888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968555,0.0002666457,0.00004882935,0.0008652796,0.00002596401,0.000002390608,0.0002078501,0.00001124712,0.001716368],"genre_scores_gemma":[0.9991998,0.0002098782,0.00004340174,0.000154621,0.00001872313,0.000002116631,0.0000821416,0.000002123104,0.0002871375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06736272,"threshold_uncertainty_score":0.1339412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552874246154063,"score_gpt":0.2188441268980009,"score_spread":0.2033153844364603,"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."}}