{"id":"W4393887804","doi":"10.5281/zenodo.5484307","title":"TROPOMI-derived ground level NO2 concentrations (2019 &amp; 2020 Monthly Means)","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science; Atmospheric sciences; Ground level; Geology; Engineering; Ground floor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008721944,0.0003107221,0.000280492,0.0001017084,0.004293585,0.0007303161,0.001776093,0.0001487587,0.3753055],"category_scores_gemma":[0.0007115778,0.000352638,0.0001080064,0.0005715924,0.0003776182,0.0003003585,0.00301134,0.0008499915,0.02275644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007925789,"about_ca_system_score_gemma":0.000006624746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007889336,"about_ca_topic_score_gemma":0.00001043657,"domain_scores_codex":[0.9965717,0.0006742462,0.0004566402,0.000786509,0.0009222692,0.000588656],"domain_scores_gemma":[0.9984025,0.0000588659,0.0002897292,0.0008816964,0.00008714341,0.0002800594],"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":[0.00003520474,0.0001422001,0.000002098148,0.00003489982,0.00004188616,0.00001686094,0.0004637831,0.0005275266,0.0005010373,0.00003728021,0.9922652,0.005932063],"study_design_scores_gemma":[0.0003368295,0.0001490986,0.0003920367,0.00001952125,0.00004098383,0.00004440182,0.0002337159,0.0000773397,0.00001651814,0.00004162385,0.9982731,0.0003748736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009352664,0.00005482975,0.0007257477,0.0004477832,0.0004644739,0.0005627871,0.9850227,0.000443329,0.01134311],"genre_scores_gemma":[0.0007619145,0.0001581659,0.0003851189,0.0001372083,0.0003175773,2.284036e-7,0.9947311,0.0008775833,0.002631047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.352549,"threshold_uncertainty_score":0.9998925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0686496986694159,"score_gpt":0.2661394799316156,"score_spread":0.1974897812621997,"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."}}