{"id":"W1850949486","doi":"10.1139/cjfr-2014-0503","title":"Characterizing crown fuel distribution for conifers in the interior western United States","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Innovative Medicine; U.S. Bureau of Land Management; U.S. Forest Service; Joint Fire Science Program; U.S. Department of Agriculture","keywords":"Crown (dentistry); Environmental science; Canopy; Fire hazard; Fire regime; Distribution (mathematics); Atmospheric sciences; Forestry; Ecology; Geography; Mathematics; Biology; Geology; Environmental protection; Materials science; Ecosystem","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001877534,0.0001189167,0.0001510974,0.000846761,0.000679161,0.0002827758,0.0001399837,0.00008097351,0.0005570743],"category_scores_gemma":[0.0002911296,0.00006858187,0.00008362369,0.0009001919,0.0001734366,0.0001784548,0.0002078617,0.0001168325,0.00009186424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009996202,"about_ca_system_score_gemma":0.0004492957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.252529,"about_ca_topic_score_gemma":0.6991156,"domain_scores_codex":[0.9999216,0.000008850195,0.00000433508,0.00002250882,0.00002381856,0.00001889865],"domain_scores_gemma":[0.9997827,0.00002886962,0.00005525522,0.0000179703,0.0000773346,0.00003778626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008143673,0.00003353359,0.9757537,0.00001403046,0.00001846445,0.00007381511,0.0004579674,0.0008337284,0.006644581,0.00008202504,0.0002434405,0.01576323],"study_design_scores_gemma":[8.153583e-7,0.000008232708,0.9987134,0.000002275656,0.000004204936,0.00003300997,0.0001709346,0.0005567262,0.0002285166,0.00001815769,0.0002618035,0.00000193019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990445,0.00004865309,0.0001317424,0.000004035232,4.388295e-7,0.000002671259,0.0002757584,0.00000573731,0.0004863396],"genre_scores_gemma":[0.9983601,0.00005760732,0.0005392789,0.000008642965,7.80507e-7,0.000004383317,0.0008383887,0.000003420601,0.0001872885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.252529,"threshold_uncertainty_score":0.5021182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05270726389862828,"score_gpt":0.3113417213762696,"score_spread":0.2586344574776413,"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."}}