{"id":"W6930620687","doi":"10.5281/zenodo.15047392","title":"EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 1999 by quarter","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Air pollution; Clean Air Act; Air pollutants; Pollution prevention; Methane emissions","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":[0.000754106,0.001361132,0.0009467811,0.002937677,0.0004929698,0.001390866,0.001929582,0.001456125,0.03311627],"category_scores_gemma":[0.003299454,0.0005401704,0.0008831099,0.007691399,0.0002272773,0.0009594963,0.0009219654,0.001435842,0.03898104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609219,"about_ca_system_score_gemma":0.002189343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04185295,"about_ca_topic_score_gemma":0.0415477,"domain_scores_codex":[0.9990677,0.00009396745,0.0001033868,0.0002252131,0.0003784199,0.0001314274],"domain_scores_gemma":[0.9983526,0.0002906986,0.0002784188,0.0002526216,0.0006988142,0.0001268849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005407465,0.00003579133,0.001404925,0.0003121179,0.00002447246,0.00001939601,0.00001303423,0.0007286429,0.0001104687,0.0006060517,0.9945208,0.002170293],"study_design_scores_gemma":[0.0001835321,0.00002393482,0.01343385,0.0001878599,0.00002897227,0.00004139004,0.00007649683,0.001331234,0.0007844571,0.001089273,0.9827862,0.0000327878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001487077,0.000013213,0.00003607217,0.00002615357,0.000008567809,0.000005273498,0.9992604,0.00006406441,0.0004375137],"genre_scores_gemma":[0.0004084502,0.00002014896,0.0001245699,0.00001516803,0.000002970479,0.00002565089,0.9988984,0.00001898875,0.0004857683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04185295,"threshold_uncertainty_score":0.110785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897473075191657,"score_gpt":0.2677324749667255,"score_spread":0.238757744214809,"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."}}