{"id":"W4243860674","doi":"10.5194/acp-2018-252-supplement","title":"Supplementary material to \"Impacts of an Intense Wildfire Smoke Episode on Surface Radiation, Energy and Carbon Fluxes in Southwestern British Columbia, Canada\"","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Smoke; Carbon fibers; Environmental science; Geography; Meteorology; Materials science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006655463,0.001273352,0.001153358,0.002837284,0.002315926,0.002296927,0.001945932,0.001151945,0.6992543],"category_scores_gemma":[0.007719998,0.0005995884,0.001053131,0.005588931,0.0003858103,0.000780633,0.001249804,0.0008434858,0.1338362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005449957,"about_ca_system_score_gemma":0.01276977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8200163,"about_ca_topic_score_gemma":0.8851293,"domain_scores_codex":[0.9994516,0.00002717618,0.0000440864,0.0000761049,0.0001908053,0.0002102827],"domain_scores_gemma":[0.9917614,0.001639021,0.000263249,0.0005329608,0.005086888,0.0007164651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004543212,0.0000536979,0.002352153,0.0002247774,0.00002629894,0.00005716372,0.00006072432,0.0005888487,0.0001222541,0.000388273,0.9917841,0.004296156],"study_design_scores_gemma":[0.00095479,0.00005691883,0.142481,0.0005731519,0.00009531611,0.0002145234,0.001146468,0.003562065,0.001145139,0.004740181,0.8448705,0.0001599925],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001637956,0.00004394019,0.0003034775,0.0004246075,0.0005934982,0.00005722018,0.9893996,0.0004960282,0.007043722],"genre_scores_gemma":[0.0187179,0.000262956,0.002359213,0.0004407961,0.0002957199,0.0002382454,0.9303324,0.0009115401,0.04644122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6992543,"threshold_uncertainty_score":0.4289773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004460554829290708,"score_gpt":0.1935953599003549,"score_spread":0.1891348050710642,"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."}}