{"id":"W6958266837","doi":"10.6073/pasta/934605d98ce58b933a305f0a8940807b","title":"Concentrations and Surface Exchange of Air Pollutants at Harvard Forest EMS Tower since 1990","year":2022,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NOx; Reactive nitrogen; Deposition (geology); Nitrogen; Nitrogen oxide; Saturation (graph theory); Nitrate; Pollutant; Air pollution","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":[0.0001711709,0.0002009846,0.0001119838,0.000654565,0.000526386,0.0003862342,0.0003490958,0.0002099251,0.003904829],"category_scores_gemma":[0.0004522406,0.00009191892,0.00009373043,0.0006229387,0.000101118,0.0005020101,0.0002044782,0.000213954,0.0009717103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713791,"about_ca_system_score_gemma":0.0003922484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3042966,"about_ca_topic_score_gemma":0.4855613,"domain_scores_codex":[0.9998259,0.00001335599,0.00000570847,0.00005377312,0.00006938349,0.00003187605],"domain_scores_gemma":[0.9995909,0.0000405648,0.0001166233,0.00001921065,0.0001675314,0.00006509326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007336018,0.00008549512,0.9773186,0.00000928559,0.00003685325,0.00009788574,0.000222208,0.0004863216,0.002523433,0.00009084588,0.0079246,0.01113116],"study_design_scores_gemma":[0.000001768978,0.0000111593,0.9971433,0.00000148098,0.000003961007,0.00001220883,0.00006715361,0.000503875,0.0002948437,0.0000127809,0.001945068,0.000002277354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9824287,0.0001610226,0.0002884092,0.0003020505,0.00001891405,0.0000132963,0.008153428,0.0001080979,0.008525997],"genre_scores_gemma":[0.983469,0.000144326,0.0005024667,0.00007924219,0.00003560336,0.00001629734,0.008253676,0.00001384433,0.007485612],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3042966,"threshold_uncertainty_score":0.6050508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533867169610168,"score_gpt":0.2684358619178588,"score_spread":0.2230971902217572,"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."}}