{"id":"W2043398857","doi":"10.1139/x07-143","title":"The fuelbed: a key element of the Fuel Characteristic Classification SystemThis article is one of a selection of papers published in the Special Forum on the Fuel Characteristic Classification System.","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; Pacific Northwest Research Station; Joint Fire Science Program","keywords":"Vegetation (pathology); Environmental science; Environmental resource management; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0121278,0.000152914,0.0003043911,0.0002840374,0.0004032376,0.0001436455,0.001238935,0.0001121217,0.000391164],"category_scores_gemma":[0.001516881,0.00007771574,0.0001414207,0.001355052,0.0005802998,0.0002213704,0.00004709632,0.0006835372,0.00002480681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501078,"about_ca_system_score_gemma":0.0004620629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008882239,"about_ca_topic_score_gemma":0.1510433,"domain_scores_codex":[0.9951761,0.001216709,0.001191559,0.0002211484,0.001568092,0.0006263279],"domain_scores_gemma":[0.9965692,0.001158093,0.00108449,0.0006666706,0.0003137009,0.0002078911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006842459,0.0003792747,0.8576417,0.0009567236,0.0001416828,0.00001871031,0.009596633,0.0000483372,0.0975627,0.01934193,0.006355523,0.007272533],"study_design_scores_gemma":[0.0003126728,0.0003775819,0.9867562,0.0004167907,0.00002278087,0.00003400127,0.006120015,0.001427098,0.001686103,0.0001618051,0.002609273,0.00007567353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867762,0.00006427546,0.00002519873,0.006344439,0.0004146857,0.001288935,0.00003195029,0.000002527512,0.00505177],"genre_scores_gemma":[0.999487,0.00002023298,0.000006507764,0.00005598086,0.0002761159,0.00004534853,0.000002752952,0.00001719099,0.00008881392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421611,"threshold_uncertainty_score":0.9977177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027687314743267,"score_gpt":0.263354825168854,"score_spread":0.2330779520214213,"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."}}