{"id":"W1576046455","doi":"","title":"Genesee River Monroe County, New York","year":2010,"lang":"en","type":"article","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"County government; Political science; Public administration","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":[0.00007909595,0.0003588991,0.000193299,0.0007621541,0.00247287,0.001388261,0.0005974817,0.0003474471,0.08014998],"category_scores_gemma":[0.0004322487,0.0002781561,0.0001236603,0.001226368,0.0004951198,0.0008109926,0.0009147392,0.0004447537,0.00698859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004728726,"about_ca_system_score_gemma":0.005545999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7463192,"about_ca_topic_score_gemma":0.9471214,"domain_scores_codex":[0.9997998,0.000008207402,0.000006121495,0.00006085346,0.00007623896,0.00004876148],"domain_scores_gemma":[0.9997916,0.00001645722,0.0000230679,0.0000120983,0.0001057005,0.00005102161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003113734,0.0002534625,0.09510694,0.0005478432,0.00005414819,0.001865652,0.003617663,0.0003298936,0.005938542,0.007030617,0.7015154,0.1834285],"study_design_scores_gemma":[0.00003167262,0.00004203022,0.1898375,0.00008972306,0.00001264605,0.0002245312,0.002311831,0.0001460516,0.0006079938,0.0001759348,0.8064952,0.00002478646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2519054,0.006323599,0.0009173148,0.004092851,0.00065322,0.0007054806,0.05341299,0.0005847826,0.6814043],"genre_scores_gemma":[0.208257,0.004178186,0.001519221,0.0008635135,0.00009297174,0.0004716551,0.01926526,0.0001620256,0.7651901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7463192,"threshold_uncertainty_score":0.5103495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02402782035573173,"score_gpt":0.1830597988994104,"score_spread":0.1590319785436787,"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."}}