{"id":"W3027011027","doi":"","title":"Spatial and temporal trends in atmospheric carbon monoxide across Canada","year":2018,"lang":"en","type":"article","venue":"EGUGA","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carbon monoxide; Environmental science; Geography; Atmospheric sciences; Climatology; Meteorology; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.00007380134,0.0001370982,0.0001238,6.941405e-7,0.00007733157,0.00001231582,0.0001203387,0.00005322853,0.0006954572],"category_scores_gemma":[0.000003847885,0.0001309103,0.00001562756,0.0001749174,0.0002961619,0.00006877817,0.0001955702,0.00008947442,0.00001433261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000429451,"about_ca_system_score_gemma":0.000009546959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9059843,"about_ca_topic_score_gemma":0.9339955,"domain_scores_codex":[0.999012,0.00001942736,0.0001497536,0.0002845638,0.0001968634,0.0003374243],"domain_scores_gemma":[0.9996733,0.000007976909,0.0000426068,0.000166332,9.124459e-7,0.00010889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000121138,0.00001738158,0.9475684,7.897362e-7,0.000002370622,0.00001728434,0.0002994685,0.0008410059,0.0001175896,0.000001126655,0.0002281674,0.05089436],"study_design_scores_gemma":[0.0002929408,0.00006550088,0.9720657,0.000002787419,0.000002750474,0.000006768447,0.0002129526,0.0184142,0.00006423892,0.00002420521,0.008671133,0.0001768612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937736,0.00002229612,0.0001268564,0.0001304908,0.0001485023,0.00004887045,0.000002154089,0.00001469445,0.005732476],"genre_scores_gemma":[0.9944045,0.000006571415,0.00289733,0.0002241234,0.00005831041,0.000005827031,0.000002987663,0.00001548508,0.002384845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0507175,"threshold_uncertainty_score":0.7614769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004345386192035262,"score_gpt":0.2008921110584038,"score_spread":0.1965467248663686,"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."}}