{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003032118,0.0003153825,0.0003244068,0.002212069,0.0019128,0.001899375,0.0007134529,0.0006114009,0.002809929],"category_scores_gemma":[0.00106094,0.0003294802,0.000618464,0.004644224,0.0007494575,0.0005668752,0.0009519496,0.0005668539,0.0002674749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02493802,"about_ca_system_score_gemma":0.03095968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980997,"about_ca_topic_score_gemma":0.998791,"domain_scores_codex":[0.9995292,0.00001861956,0.00003030281,0.00009350744,0.0001319045,0.0001964481],"domain_scores_gemma":[0.9984071,0.00009770699,0.0001809302,0.00003814296,0.001001611,0.000274507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001789352,0.00004525096,0.978461,0.0000829873,0.0002395962,0.0002298722,0.001711465,0.001271522,0.001602969,0.0008357865,0.00398991,0.01135071],"study_design_scores_gemma":[0.000004797482,0.000007891274,0.9929167,0.00002432444,0.00004344794,0.00003210115,0.001650863,0.0009089548,0.0001550651,0.00003621152,0.00420361,0.00001605063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832551,0.001405665,0.0002487299,0.0009273517,0.00003641556,0.0000177659,0.009204242,0.00006180334,0.004842816],"genre_scores_gemma":[0.9919785,0.0007698415,0.0002561733,0.00009087257,0.000008534828,0.0000083417,0.002373326,0.00001018277,0.004504221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02493802,"threshold_uncertainty_score":0.1809388,"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."}}