{"id":"W4411886742","doi":"10.1038/s41597-025-04941-w","title":"A global assemblage of regional prescribed burn records — GlobalRx","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"European Commission; Research Councils UK","keywords":"Environmental science; Climate change; Environmental resource management; Global warming; Scale (ratio); Geography; Climatology; Ecology; Cartography","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":[0.0009516163,0.0006492439,0.0005932429,0.005230417,0.0003339594,0.0008486196,0.0006193296,0.0004181454,0.003282746],"category_scores_gemma":[0.002804036,0.0003125652,0.0006442742,0.007846629,0.0002352544,0.0007098618,0.001241937,0.0005322811,0.002624743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987198,"about_ca_system_score_gemma":0.0007738331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102336,"about_ca_topic_score_gemma":0.02550768,"domain_scores_codex":[0.9991676,0.00009541543,0.000166632,0.0003096193,0.000164667,0.00009617186],"domain_scores_gemma":[0.9973993,0.0003474808,0.0007236755,0.0006981723,0.0006640237,0.0001673505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000375604,0.0001089752,0.7339863,0.001793365,0.001159583,0.0004008699,0.0009364474,0.007335754,0.009693636,0.001850391,0.1182042,0.1241549],"study_design_scores_gemma":[0.0000413948,0.00005644321,0.7981297,0.0002130768,0.0002087765,0.0004798684,0.0005137204,0.00255585,0.002498362,0.0004545131,0.194795,0.00005332755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2448157,0.002278787,0.005706611,0.0001857059,0.0001082869,0.0001350777,0.737387,0.001288997,0.008093858],"genre_scores_gemma":[0.1178332,0.0006790039,0.01070217,0.00009005863,0.00005774899,0.0001950819,0.8686416,0.0003094092,0.001491735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02102336,"threshold_uncertainty_score":0.04180199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438441807748461,"score_gpt":0.2814702107826633,"score_spread":0.2570857927051787,"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."}}