{"id":"W2986325301","doi":"","title":"Cities and Rivers: Hydrogeomorphology and Ecology eLightning","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting 2019","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Western University; University of Waterloo","funders":"","keywords":"Ecology; Geography; 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":[0.0004780825,0.0002580177,0.0002819225,0.002458712,0.0005657209,0.002671226,0.0002435619,0.000440641,0.0140077],"category_scores_gemma":[0.0005921354,0.0002253401,0.0002458795,0.004533273,0.0006969363,0.001339789,0.001421024,0.0003532324,0.001229602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233306,"about_ca_system_score_gemma":0.001649654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0506436,"about_ca_topic_score_gemma":0.1427601,"domain_scores_codex":[0.9997541,0.00007889562,0.00001835877,0.00003699315,0.00007007499,0.00004158796],"domain_scores_gemma":[0.9997219,0.00005135497,0.00005844453,0.00002445092,0.00007351856,0.00007033867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001439865,0.0000518903,0.3765952,0.0003558067,0.00006577069,0.0004870779,0.001837557,0.002114664,0.00317352,0.01531244,0.04775167,0.5521104],"study_design_scores_gemma":[0.000004906693,0.00004954445,0.7637568,0.0001889031,0.00002814751,0.0005633836,0.006159643,0.001328777,0.0005867863,0.005338355,0.2219512,0.00004357377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7770076,0.04644767,0.01174119,0.02123518,0.001476907,0.0001500191,0.02171312,0.0004849845,0.1197433],"genre_scores_gemma":[0.8835719,0.01508044,0.006644676,0.0006025712,0.0004509038,0.00008449548,0.006637702,0.0001482102,0.08677903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0506436,"threshold_uncertainty_score":0.1006976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046751929844554,"score_gpt":0.2297527979989984,"score_spread":0.2192852787005528,"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."}}