{"id":"W3023797464","doi":"","title":"Satellite Based Analysis of Carbon Monoxide Levels Over Alberta Oil Sand","year":2014,"lang":"en","type":"article","venue":"AGUFM","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carbon monoxide; Satellite; Environmental science; Remote sensing; Geology; Chemistry; Engineering","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":[0.0001011613,0.0002576581,0.0001754807,0.0006613517,0.0005314033,0.0004351547,0.0003691275,0.0004236702,0.0009307572],"category_scores_gemma":[0.0001871639,0.0001675407,0.0001926411,0.001037687,0.0002661948,0.0001907226,0.0001766451,0.0002024815,0.0001194201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003017586,"about_ca_system_score_gemma":0.00134178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8055234,"about_ca_topic_score_gemma":0.8793247,"domain_scores_codex":[0.9999346,0.000003180741,0.000002097359,0.00001095029,0.00003257467,0.00001663919],"domain_scores_gemma":[0.9999231,0.00001040166,0.00001108961,0.00000450403,0.00003634993,0.00001450697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001691599,0.0003125324,0.7877558,0.0001169192,0.0002378471,0.0007677792,0.0006391991,0.0896402,0.07436995,0.001043385,0.002370886,0.04105392],"study_design_scores_gemma":[0.00002895756,0.00003295395,0.9436234,0.000009286478,0.00002787334,0.00003573006,0.0003024863,0.04988059,0.004640906,0.00007405948,0.001328342,0.00001543849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979685,0.00003576182,0.0001172225,0.00002387946,0.000002460492,0.000003207884,0.0006373404,0.0000260281,0.001185451],"genre_scores_gemma":[0.9983599,0.00004207288,0.0002558332,0.000006090172,0.000001569279,0.000002132437,0.0006021617,0.000003531881,0.0007268148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1944766,"threshold_uncertainty_score":0.3912438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005898117911503794,"score_gpt":0.1954493417383237,"score_spread":0.1895512238268199,"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."}}