{"id":"W3040171498","doi":"10.5194/nhess-20-3439-2020","title":"A classification scheme to determine wildfires from the satellite record in the cool grasslands of southern Canada: considerations for fire occurrence modelling and warning criteria","year":2020,"lang":"en","type":"article","venue":"Natural hazards and earth system sciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Grassland; Environmental science; Warning system; Phenology; Geography; Meteorology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006498055,0.00009900583,0.0001570648,0.00001157475,0.0003368073,0.0001198075,0.0001793393,0.00002901838,0.00000699574],"category_scores_gemma":[0.0001596876,0.00005473865,0.00001797003,0.0002174308,0.0001382731,0.0001308326,0.00004260145,0.00008369371,0.000001933263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002028334,"about_ca_system_score_gemma":0.0000552186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1320747,"about_ca_topic_score_gemma":0.139726,"domain_scores_codex":[0.9988898,0.0001338822,0.0002459468,0.0002889818,0.000278651,0.0001627353],"domain_scores_gemma":[0.9990539,0.0006667105,0.0001099469,0.00009799429,0.00001537399,0.00005606595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002377028,0.00003627102,0.6044897,0.0005203901,0.0000399767,0.00001624654,0.04671279,0.005096292,0.02266654,0.000329839,0.003609027,0.3162453],"study_design_scores_gemma":[0.0001256336,0.00007579094,0.03323692,0.0001177133,0.000006452382,0.00000565869,0.003977038,0.9616709,0.00009375864,0.00001599763,0.0005793505,0.00009481968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964257,0.0005279532,0.0001583832,0.002097212,0.000121352,0.0004873429,0.0001394043,0.000008864329,0.00003374787],"genre_scores_gemma":[0.9984185,0.00001182547,0.001223672,0.0002695898,0.00003941516,0.00002808374,0.000003769609,0.000002604004,0.000002529123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9565746,"threshold_uncertainty_score":0.8759717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861206019233,"score_gpt":0.2442317464167763,"score_spread":0.2056196862244463,"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."}}