{"id":"W2460732564","doi":"10.1023/a:1011916006125","title":"A Statistical Assessment of Changes in Precipitation Chemistry at CAPMoN Sites, Canada","year":2001,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Environmental science; Acid rain; Linear regression; Regression analysis; Ecotoxicology; Meteorology; Atmospheric sciences; Hydrology (agriculture); Statistics; Mathematics; Environmental chemistry; Geography; Chemistry; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000158594,0.0001438311,0.0001737189,0.00001276387,0.0001217308,0.00001039971,0.00007657737,0.00004073507,0.0004313701],"category_scores_gemma":[0.000003875246,0.0001327083,0.00001428259,0.00004896657,0.0001398292,0.00004987912,0.0002555272,0.0001283737,0.000002233078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085833,"about_ca_system_score_gemma":0.00001325085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04848901,"about_ca_topic_score_gemma":0.03217559,"domain_scores_codex":[0.9988027,0.0000569716,0.0002118029,0.0002790758,0.0004123907,0.0002370612],"domain_scores_gemma":[0.9996395,0.00007302457,0.00008111751,0.0001196905,8.880827e-7,0.00008582421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007739018,0.0001103856,0.9443356,0.00002226706,0.00001167937,0.00001872895,0.0002960376,0.000481755,0.05191567,0.000002906411,0.00005926982,0.002737968],"study_design_scores_gemma":[0.0003113062,0.00005701336,0.9868852,0.00002567355,0.00001103328,0.000005454224,0.001032724,0.0003431767,0.008003199,0.00002014494,0.003158197,0.0001468237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969453,0.0001026623,0.00003542984,0.0002129857,0.0000741167,0.0001236472,0.00003022702,0.000006796828,0.002468872],"genre_scores_gemma":[0.9972564,0.0003897801,0.001501371,0.00001147695,0.00004359075,0.0000330353,0.0000280878,0.000009017039,0.0007272568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04391247,"threshold_uncertainty_score":0.9854847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451204407802966,"score_gpt":0.2669758257748573,"score_spread":0.2424637816968276,"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."}}