{"id":"W4390755495","doi":"10.1016/j.envint.2024.108439","title":"Satellite microwave measurements complementary to fire weather improve the assessment of fires among different biomes in Southeast Asia","year":2024,"lang":"en","type":"article","venue":"Environment International","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Environmental science; Biome; Satellite; Meteorology; Climatology; Southeast asia; Geography; Remote sensing; Geology; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000441886,0.0002887573,0.0001707524,0.0006513055,0.000130222,0.0004995867,0.0001295888,0.0001822488,0.0006437285],"category_scores_gemma":[0.0007175666,0.0001030931,0.0002349615,0.0004507813,0.00009431339,0.0004477083,0.0002898517,0.0001553903,0.0001107052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544391,"about_ca_system_score_gemma":0.0001071561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005677685,"about_ca_topic_score_gemma":0.01350822,"domain_scores_codex":[0.9999055,0.00002324941,0.00001095585,0.00002955742,0.00001490851,0.00001584886],"domain_scores_gemma":[0.9997515,0.00007242903,0.00007351051,0.00003128308,0.00004816198,0.00002311108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008551907,0.00004095357,0.9604695,0.00003228341,0.00007447584,0.00005360376,0.0001147933,0.002508375,0.00560407,0.00006597823,0.0001001804,0.03085014],"study_design_scores_gemma":[0.000001789643,0.00002949558,0.9928916,0.00001011754,0.00003633174,0.00004094494,0.0002155535,0.005577986,0.0008685755,0.00006483959,0.0002591097,0.000003817735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976848,0.0001534701,0.0009815512,0.00001431636,0.000003643915,0.000004925663,0.0002276356,0.00001569401,0.0009138347],"genre_scores_gemma":[0.998695,0.00007724723,0.000854885,0.000005004452,0.000003544856,0.000002065629,0.0002378461,0.000002034958,0.0001224869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005677685,"threshold_uncertainty_score":0.0112893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361682915625773,"score_gpt":0.2500985661146257,"score_spread":0.2364817369583679,"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."}}