{"id":"W2024950961","doi":"10.1155/2013/289056","title":"A Comparative Analysis of Burned Area Datasets in Canadian Boreal Forest in 2000","year":2013,"lang":"en","type":"article","venue":"The Scientific World JOURNAL","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Ministerio de Ciencia e Innovación; National Aeronautics and Space Administration","keywords":"Taiga; Boreal; Vegetation (pathology); Environmental science; Remote sensing; Physical geography; Climatology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002531239,0.000116612,0.000308708,0.001013084,0.0002015192,0.0002240481,0.0006799243,0.00002427399,0.002901674],"category_scores_gemma":[0.00004353581,0.0000785597,0.00007703617,0.004480009,0.0003578164,0.0003878105,0.0000825867,0.0002803167,0.000322463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006884757,"about_ca_system_score_gemma":0.0001198216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6774024,"about_ca_topic_score_gemma":0.9944364,"domain_scores_codex":[0.9980722,0.0002703568,0.0004422967,0.0002464472,0.0004477944,0.0005208932],"domain_scores_gemma":[0.9990006,0.0001221504,0.0001920758,0.0004173354,0.00001622828,0.0002516152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000011347,0.00008506637,0.9361385,0.000002677882,0.00007309532,0.00003187903,0.002905347,0.01549301,0.001135232,0.00002677642,0.04264143,0.001455708],"study_design_scores_gemma":[0.0001879287,0.00001053548,0.902433,0.00002572705,0.0000349845,0.000009225721,0.0001866163,0.09347235,0.00008483481,0.0001511343,0.003315809,0.00008779459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882039,0.00004691467,0.000004607534,0.0005106293,0.0002523387,0.000298518,0.00008192174,0.000003010098,0.01059821],"genre_scores_gemma":[0.9988742,0.000001313733,0.00004911168,0.00004499933,0.00001287534,0.00001166929,0.00005652392,0.000003893759,0.0009453614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.317034,"threshold_uncertainty_score":0.9980098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385228692950959,"score_gpt":0.2414764866947014,"score_spread":0.2276241997651918,"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."}}