{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585013,0.0001390884,0.0001452791,0.00007274446,0.0001603111,0.00002233639,0.000105476,0.00008217523,0.0001261079],"category_scores_gemma":[0.00003951468,0.0001375655,0.00007496629,0.0001901768,0.00006908297,0.0002493514,0.00005692642,0.00007214114,0.0004094713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004592906,"about_ca_system_score_gemma":0.00002538693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0277241,"about_ca_topic_score_gemma":0.009941725,"domain_scores_codex":[0.9989178,0.00006475847,0.0002466575,0.000202121,0.0002487524,0.0003199474],"domain_scores_gemma":[0.9994672,0.00002311538,0.0001012715,0.0002071619,0.00001092948,0.0001903134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003041789,0.00009739386,0.9760448,0.00002177535,0.00001926487,0.00002542118,0.0007198246,0.006481335,0.01189803,0.000190671,0.00232429,0.002146805],"study_design_scores_gemma":[0.00119022,0.0007053033,0.7529295,0.0001133619,0.0001305738,0.0002323894,0.0003284585,0.09416408,0.1333645,0.01513376,0.0008428671,0.0008650013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936177,0.0000499369,0.0003716915,0.0001669701,0.00009468479,0.0001953816,0.00001364413,0.00003299541,0.005457001],"genre_scores_gemma":[0.9968563,0.000007212643,0.002697777,0.0001073149,0.00001339126,0.00001621121,0.00009747769,0.00001615881,0.0001882058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2231153,"threshold_uncertainty_score":0.9787503,"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."}}