{"id":"W1539957419","doi":"","title":"Characterization of Six Watersheds of Wayne County, New York","year":2010,"lang":"en","type":"article","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Archaeology; Geography","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":[0.00009420123,0.0001905845,0.0003713183,0.00008626464,0.00008131973,0.00003183772,0.0004456832,0.0001217552,0.00006728755],"category_scores_gemma":[0.000005784691,0.0001959817,0.0001566732,0.000241595,0.0002907918,0.0005791521,0.0001846732,0.0001141459,0.00004587948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110773,"about_ca_system_score_gemma":0.000108276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002610719,"about_ca_topic_score_gemma":0.00006951451,"domain_scores_codex":[0.9984642,0.00002351579,0.0004465261,0.000318811,0.0004940952,0.0002528911],"domain_scores_gemma":[0.9987476,0.00002356411,0.0005252059,0.0004142274,0.00004246382,0.0002468689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002208348,0.0001446149,0.9022017,0.0001845372,0.00006304163,0.0000644502,0.002701691,0.00007729801,0.08909944,0.00004511512,0.002807533,0.002389745],"study_design_scores_gemma":[0.007370793,0.002322238,0.5340354,0.00099446,0.0005407939,0.0005846034,0.01245333,0.001929595,0.2311896,0.0007050766,0.2053789,0.00249526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820902,0.000004160947,0.0002731711,0.00002344028,0.0006913248,0.0002132983,0.0001235501,0.00005031617,0.01653049],"genre_scores_gemma":[0.9748604,0.00000334158,0.000138584,0.00000499135,0.00003933244,1.102778e-7,0.0001226373,0.00001660564,0.02481395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3681663,"threshold_uncertainty_score":0.7991903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007542235590827485,"score_gpt":0.16095754754902,"score_spread":0.1534153119581925,"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."}}