{"id":"W7074577948","doi":"","title":"The Berkeley High Resolution Tropospheric NO_2 product","year":2018,"lang":"en","type":"article","venue":"CaltechAUTHORS (California Institute of Technology)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"A priori and a posteriori; Satellite; Troposphere; Product (mathematics); Ozone Monitoring Instrument; Image resolution; Lightning (connector)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008208009,0.0002081322,0.0004455943,0.0002944385,0.0007007241,0.00004821497,0.000749659,0.000200429,0.0004520525],"category_scores_gemma":[0.0005574315,0.000180667,0.0001240568,0.0009206595,0.002347585,0.000185339,0.0003221942,0.0002374117,0.007967893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428732,"about_ca_system_score_gemma":0.0000385773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001472654,"about_ca_topic_score_gemma":0.00004789875,"domain_scores_codex":[0.998027,0.00000698695,0.0007740742,0.0006322271,0.00005613804,0.0005035269],"domain_scores_gemma":[0.9984481,0.00001474915,0.0004998419,0.0008488909,0.000124814,0.000063622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004597978,0.00007788511,0.00272799,0.00002388073,0.0001295305,0.000002865852,0.00007958755,0.00004308284,0.0001674436,0.9082637,0.07838843,0.01004955],"study_design_scores_gemma":[0.0003090332,0.0001055553,0.0004155141,0.00001886859,0.00001230844,0.000005328379,0.0001369831,0.000694611,0.002208252,0.05018339,0.9456857,0.0002244334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814337,0.01156368,0.0235928,0.02357634,0.03374652,0.00224366,0.002433833,0.001432026,0.2199774],"genre_scores_gemma":[0.9725106,0.0006026138,0.008441037,0.00009441454,0.0003283594,0.00008014483,0.00001485012,0.00003264557,0.01789532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8672973,"threshold_uncertainty_score":0.9928045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070569916629557,"score_gpt":0.2101914680418999,"score_spread":0.1894857688756043,"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."}}