{"id":"W3133675449","doi":"","title":"A preliminary estimation of nitrogen deposition at rural Canadian sites","year":2003,"lang":"en","type":"article","venue":"EGS - AGU - EUG Joint Assembly","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deposition (geology); Nitrogen; Estimation; Environmental science; Economics; Chemistry; Geology","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":[0.000393518,0.0004899926,0.0002872172,0.001272918,0.002158338,0.000796226,0.0006160012,0.0002648694,0.001445933],"category_scores_gemma":[0.000932007,0.0002323671,0.0003956265,0.00244369,0.0002280875,0.0002860697,0.0003698945,0.0002633232,0.0002528616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01037233,"about_ca_system_score_gemma":0.009644641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989358,"about_ca_topic_score_gemma":0.9961686,"domain_scores_codex":[0.9996889,0.00001938035,0.00001371745,0.00008074398,0.0001327213,0.00006452407],"domain_scores_gemma":[0.9993201,0.00005871204,0.0000428876,0.0000230067,0.0005012705,0.00005400323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004505267,0.00009417959,0.8977602,0.0001810168,0.0001050784,0.0002728511,0.000837403,0.0276254,0.01541854,0.0008513365,0.004337844,0.05206563],"study_design_scores_gemma":[0.00001942031,0.00002709676,0.9822887,0.00001024972,0.00002875643,0.00003947545,0.0004020199,0.009718024,0.002229552,0.00009250444,0.005127017,0.00001724847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782519,0.0004020833,0.002875753,0.0001671331,0.00001141861,0.0000746063,0.007705649,0.0000999117,0.01041141],"genre_scores_gemma":[0.9848768,0.0003589992,0.006026298,0.00004032277,0.000005487586,0.00003675613,0.003288308,0.00002082757,0.005346168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064199,"threshold_uncertainty_score":0.07525682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009501491833812138,"score_gpt":0.2049238651810526,"score_spread":0.1954223733472404,"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."}}