{"id":"W3107103843","doi":"","title":"Radiative Heating Rates of Canadian Boreal Forest Fire Smoke During ARCTAS","year":2009,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Smoke; Environmental science; Taiga; Boreal; Atmospheric sciences; Meteorology; Geography; Forestry; 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":[0.0002280842,0.0003852267,0.0003048344,0.0006527251,0.001683123,0.0006916747,0.000572956,0.00047857,0.004126699],"category_scores_gemma":[0.0005407713,0.000224745,0.0003573382,0.000520614,0.0003417579,0.0002953359,0.0003330342,0.0005150936,0.0003223683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006272206,"about_ca_system_score_gemma":0.002402987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8741484,"about_ca_topic_score_gemma":0.9178098,"domain_scores_codex":[0.9998283,0.000006266435,0.000003423208,0.00003520243,0.00006011789,0.0000666132],"domain_scores_gemma":[0.9997039,0.00005866707,0.00001571462,0.00001317825,0.0001634078,0.00004507127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004223986,0.00035985,0.8533822,0.0001469374,0.0002618671,0.0004383489,0.00298107,0.0211594,0.06815582,0.0008097339,0.008174015,0.0399068],"study_design_scores_gemma":[0.00001471488,0.00002392542,0.9925121,0.000004885058,0.00002137832,0.00003112875,0.0003089922,0.003348262,0.002473791,0.00002814269,0.001216802,0.00001586728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927202,0.0001359722,0.0002069168,0.0000738678,0.00001613151,0.00001627323,0.00152683,0.00005257259,0.005251318],"genre_scores_gemma":[0.9972361,0.0000426259,0.00007259869,0.00002008578,0.000005246248,0.000009584376,0.0009395117,0.00001606959,0.001658312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1258516,"threshold_uncertainty_score":0.2531855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093341595628146,"score_gpt":0.2225365789919436,"score_spread":0.2116031630356621,"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."}}