{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009900098,0.002246946,0.001399995,0.002047895,0.001349699,0.001448894,0.003165269,0.002000071,0.02717504],"category_scores_gemma":[0.004510764,0.0007676021,0.001572012,0.005127276,0.0008054444,0.0007899638,0.001300964,0.001125612,0.02910679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006147041,"about_ca_system_score_gemma":0.01240297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7649344,"about_ca_topic_score_gemma":0.8730676,"domain_scores_codex":[0.9989352,0.00008197947,0.0000744417,0.0002777491,0.0004335258,0.0001971314],"domain_scores_gemma":[0.99632,0.0003139671,0.0002400608,0.0006359476,0.002182544,0.0003075291],"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":[0.000106867,0.00002565835,0.002922279,0.0006813801,0.00008395057,0.00003378592,0.00004657968,0.001206775,0.0003014528,0.0003850003,0.9916496,0.002556722],"study_design_scores_gemma":[0.0003274745,0.00002349523,0.03177806,0.0003032142,0.00008490621,0.00004517953,0.0001588847,0.001376305,0.0007722325,0.0006560356,0.9643918,0.00008243688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002662459,0.00004121878,0.00005230806,0.00004242205,0.00001954667,0.000008009577,0.9989337,0.0001461684,0.0004904389],"genre_scores_gemma":[0.0008190672,0.0000408555,0.0002011124,0.0000216238,0.000005344275,0.00002980734,0.9979514,0.00003526898,0.0008954176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2350656,"threshold_uncertainty_score":0.4728999,"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."}}