{"id":"W4283592246","doi":"10.3390/rs14133050","title":"Extending the National Burned Area Composite Time Series of Wildfires in Canada","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Government of Northwest Territories; Canadian Forest Service","funders":"","keywords":"Environmental science; Polygon (computer graphics); Satellite imagery; Physical geography; Climate change; Remote sensing; Satellite; Climatology; Meteorology; Geography; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001083237,0.0003768591,0.0002839502,0.003587192,0.001101401,0.001067383,0.0006678833,0.0001613298,0.001280406],"category_scores_gemma":[0.004289357,0.0001880938,0.0004784194,0.006701498,0.0002576009,0.0004183614,0.0008160663,0.0005061805,0.000254408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01496877,"about_ca_system_score_gemma":0.02372594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958553,"about_ca_topic_score_gemma":0.99709,"domain_scores_codex":[0.9990363,0.0000410782,0.00006838612,0.0001744442,0.0004813536,0.0001984304],"domain_scores_gemma":[0.9954454,0.0002290163,0.0003467652,0.0001787185,0.003465697,0.0003345288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000188361,0.00008600249,0.8609827,0.0002516341,0.0002793777,0.0002284132,0.001153082,0.02459048,0.001312173,0.002521958,0.03652984,0.07187594],"study_design_scores_gemma":[0.00001075801,0.00001184576,0.9578676,0.00008818114,0.00005380005,0.00003453519,0.00047002,0.01203316,0.0005607703,0.0002248878,0.0286038,0.0000406749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7762207,0.001894642,0.007911676,0.0006074034,0.0001162907,0.0001438663,0.2016973,0.0003078661,0.01110025],"genre_scores_gemma":[0.8457727,0.001248174,0.01122062,0.0002005592,0.00003880187,0.0001258121,0.1368462,0.00008943367,0.004457635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01496877,"threshold_uncertainty_score":0.1086066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007623451198202753,"score_gpt":0.1903391180959949,"score_spread":0.1827156668977922,"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."}}