{"id":"W6950521067","doi":"10.5683/sp2/8c4clx","title":"Replication Data for: Estimation of NOx and SO2 emissions from Sarnia, Ontario, using a mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) and a NOx analyzer","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"NOx; Absorption (acoustics); Spectrum analyzer; Replication (statistics); Differential optical absorption spectroscopy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003510427,0.0005929965,0.001002765,0.0003097743,0.0002206061,0.000217355,0.0006585231,0.0005374076,0.0001299909],"category_scores_gemma":[0.0008184141,0.0005936628,0.000117356,0.0002432161,0.000247536,0.000433554,0.0007570161,0.000495085,0.00001330789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004011681,"about_ca_system_score_gemma":0.0003575705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3544757,"about_ca_topic_score_gemma":0.2329474,"domain_scores_codex":[0.9961633,0.0001265664,0.0009620945,0.00179772,0.0005582962,0.000392041],"domain_scores_gemma":[0.9950799,0.0002269624,0.0009103418,0.003262995,0.00016456,0.0003551887],"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":[0.0004044686,0.0002969837,0.0003514965,0.0002386404,0.0002693969,0.00000530373,0.0001587593,0.00008792843,0.02456354,0.000008019337,0.973047,0.0005684747],"study_design_scores_gemma":[0.003570397,0.0004168735,0.02680144,0.0007050254,0.00502962,0.00003726482,0.00007487274,0.2832331,0.002616985,0.0002757194,0.6759377,0.001301043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02825345,0.0001316429,0.01531341,0.00004300487,0.00006196363,0.001557803,0.9545608,0.00007317256,0.000004796893],"genre_scores_gemma":[0.001594925,0.0001064576,0.0391911,0.0000212194,0.0002127428,0.0001400805,0.9586167,0.0001072177,0.000009551383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2971093,"threshold_uncertainty_score":0.9996515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636608486276498,"score_gpt":0.3460486791397409,"score_spread":0.282387830512091,"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."}}