{"id":"W201975607","doi":"10.2172/896349","title":"Quarterly RCRA Groundwater Monitoring Data for the Period April Through June 2006","year":2006,"lang":"en","type":"report","venue":"","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Washington State University; Battelle; U.S. Department of Energy","keywords":"Environmental science; Groundwater; Period (music); Hydrology (agriculture); Quarter (Canadian coin); Water resource management; Geography; Geology; Archaeology","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":[0.0006953256,0.0003986577,0.0002798433,0.00324382,0.0004003213,0.0006915527,0.000657206,0.0002560951,0.01162356],"category_scores_gemma":[0.003499072,0.0001971059,0.0001457771,0.003576498,0.00008795257,0.0003424305,0.000311976,0.0003577336,0.0053762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559312,"about_ca_system_score_gemma":0.002497007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09719764,"about_ca_topic_score_gemma":0.1404556,"domain_scores_codex":[0.9983412,0.0001203689,0.0001423613,0.0001441271,0.001139304,0.0001126406],"domain_scores_gemma":[0.9945703,0.0002861442,0.001164477,0.0002575967,0.003577601,0.0001437921],"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":[0.0002089582,0.00009101159,0.03743412,0.0004620883,0.00004028067,0.00009894036,0.0003165563,0.0008187685,0.002803834,0.0009458055,0.8169672,0.1398125],"study_design_scores_gemma":[0.00001966179,0.00008905695,0.131745,0.00007372056,0.00003040286,0.0001352141,0.000183135,0.0005323761,0.003686982,0.0001097872,0.8633707,0.00002397306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0688582,0.002321822,0.004608443,0.001838419,0.0004724257,0.0005615124,0.8061222,0.002079421,0.1131376],"genre_scores_gemma":[0.1751306,0.00588454,0.01439532,0.0006935077,0.0004204043,0.0007669242,0.6401977,0.0005242488,0.1619867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09719764,"threshold_uncertainty_score":0.1932638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06211284198354901,"score_gpt":0.2789185588286143,"score_spread":0.2168057168450653,"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."}}