{"id":"W2075748709","doi":"10.1007/s10661-005-9053-0","title":"Fine-resolution mapping of wildfire fuel types for Canada: Fuzzy logic modeling for an Alberta pilot area","year":2006,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Fuzzy logic; Environmental science; Resolution (logic); Ecotoxicology; Remote sensing; Geography; Ecology; Computer science; Biology; Artificial intelligence","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":[0.0001104214,0.0001404048,0.0001390825,0.00001822126,0.000230957,0.00001914558,0.0000841959,0.00003676843,0.000006091566],"category_scores_gemma":[0.000003945393,0.00013775,0.00003452086,0.00003812213,0.00005719347,0.00009058946,0.00004752255,0.00006168,9.302892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000315375,"about_ca_system_score_gemma":0.00001912212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1506792,"about_ca_topic_score_gemma":0.02244018,"domain_scores_codex":[0.9990507,0.00001538309,0.0002230529,0.0003064487,0.0001789131,0.0002254945],"domain_scores_gemma":[0.9996154,0.00005867818,0.00008674973,0.000171805,0.00000197317,0.00006539336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001059641,0.001080553,0.1646914,0.0001246522,0.0000811122,0.000001504799,0.0003919754,0.3468912,0.4266951,0.001029921,0.0009744427,0.05793213],"study_design_scores_gemma":[0.001661924,0.0007810317,0.4625936,0.00009783643,0.0001138462,0.000009924445,0.001059519,0.5099564,0.005698936,0.005649034,0.01157567,0.0008022764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815338,0.0001350085,0.01577205,0.0002131326,0.0001416651,0.0004615261,0.00003462519,0.00001480788,0.001693401],"genre_scores_gemma":[0.9767148,0.00001740642,0.02270878,0.000009021483,0.0001328887,0.00003818454,0.00006875833,0.0000171023,0.0002930394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4209962,"threshold_uncertainty_score":0.9953977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274729258819534,"score_gpt":0.2522835331890209,"score_spread":0.2248106073070675,"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."}}