{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003344081,0.00009085762,0.0001316673,0.00002349505,0.00009023304,0.0000228823,0.00007751864,0.00007137196,0.000279424],"category_scores_gemma":[0.00001543325,0.00008336918,0.00001554292,0.00003682377,0.0001773014,0.0001105045,0.0002191295,0.0000850897,0.0007873499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003496133,"about_ca_system_score_gemma":0.000004465739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002640095,"about_ca_topic_score_gemma":0.0005434509,"domain_scores_codex":[0.9992166,0.0001019649,0.0001288789,0.0002439112,0.00009241302,0.0002162592],"domain_scores_gemma":[0.9996554,0.0001020875,0.00006313968,0.0001159724,0.000002877285,0.00006055891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008186047,0.00001241005,0.9898508,0.00001038438,0.000009915667,0.000004909624,0.00114385,0.0001000613,0.005242093,0.0006731815,0.002212573,0.0007316825],"study_design_scores_gemma":[0.001045477,0.0002651403,0.9325795,0.00003579685,0.00002545047,0.00007909987,0.0006892,0.0008919594,0.001630003,0.002048738,0.06033161,0.0003780179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865179,0.00007360902,0.00001202958,0.001014406,0.0001535623,0.0001066483,0.000004370204,0.00002808646,0.0120894],"genre_scores_gemma":[0.9952707,0.00004690882,0.0008895093,0.0007678163,0.00001835233,0.000002991286,0.000004387063,0.000006258051,0.002993091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05811903,"threshold_uncertainty_score":0.9999906,"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."}}