{"id":"W2173939499","doi":"10.3133/ofr20151168","title":"Groundwater quality in the Chemung River, Eastern Lake Ontario, and Lower Hudson River Basins, New York, 2013","year":2015,"lang":"en","type":"article","venue":"Antarctica A Keystone in a Changing World","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; New York State Department of Environmental Conservation; New York State Department of Health","keywords":"Hydrology (agriculture); Groundwater; Drainage basin; Geological survey; Water quality; Structural basin; Environmental science; Geology; Geography; Ecology; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312924,0.0002520544,0.0003123784,0.0002398152,0.0001414596,0.00007407022,0.0003059882,0.00006648515,0.0004646849],"category_scores_gemma":[0.00002708062,0.0001738662,0.00005732063,0.0008160637,0.000481884,0.0002625103,0.0004385917,0.0003675664,0.0002161151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312253,"about_ca_system_score_gemma":0.00002082304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2641243,"about_ca_topic_score_gemma":0.8131303,"domain_scores_codex":[0.9978742,0.0002579087,0.0003481098,0.0004392604,0.0004590689,0.0006214471],"domain_scores_gemma":[0.9993235,0.0001260847,0.00008234442,0.0003242618,0.00000789696,0.0001358487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001393506,0.0002701481,0.7738789,0.00002268644,0.00002444308,0.00007190338,0.2173091,0.00006837693,0.00004517024,0.00009672563,0.007015587,0.001057656],"study_design_scores_gemma":[0.002070075,0.0001332347,0.5464437,0.000189025,0.00003657527,0.00003460265,0.006214408,0.0001549395,0.00008516356,0.001802069,0.4422544,0.0005818249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846656,0.0002162688,0.00003439238,0.008138385,0.0002011033,0.0003034128,0.000002974674,0.00002650057,0.006411353],"genre_scores_gemma":[0.9732713,0.00003858219,0.0005245858,0.001645183,0.0001235144,0.00002306332,0.00000744362,0.00001640706,0.02434999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.549006,"threshold_uncertainty_score":0.740776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08699923807530519,"score_gpt":0.2645458891740275,"score_spread":0.1775466510987223,"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."}}