{"id":"W7100522545","doi":"","title":"File # 02em THE ROLE OF FIRE IN JUNIPER AND PINYON WOODLANDS: A DESCRIPTIVE ANALYSIS","year":2002,"lang":"en","type":"article","venue":"","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Juniper; Woodland; Dominance (genetics); Shrub; Vegetation (pathology); Vegetation type","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008502991,0.000328798,0.000411519,0.00315303,0.0005893445,0.0007789707,0.0007633331,0.0003225515,0.1657968],"category_scores_gemma":[0.006898221,0.0002127193,0.0004479094,0.004926815,0.0001421301,0.0009561941,0.0006169981,0.0004308726,0.02583646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007806341,"about_ca_system_score_gemma":0.001197847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03756237,"about_ca_topic_score_gemma":0.03353818,"domain_scores_codex":[0.9995227,0.00005754013,0.00006439508,0.00009538802,0.0001560412,0.0001040096],"domain_scores_gemma":[0.9947662,0.002943076,0.0006674824,0.0002522875,0.001157784,0.0002131219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006861513,0.0002672292,0.2610762,0.001068182,0.0001150777,0.0004385831,0.001264253,0.0005168578,0.0002605017,0.0009996472,0.6950302,0.03827716],"study_design_scores_gemma":[0.0001578508,0.0001787894,0.8182183,0.0007528813,0.00008559712,0.000377647,0.006542752,0.001118842,0.0003569412,0.0006833519,0.171479,0.00004821566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02875951,0.00006861787,0.000273483,0.0002105215,0.0000209998,0.0001823596,0.9644868,0.0001374787,0.005860101],"genre_scores_gemma":[0.1576681,0.0004152002,0.00154778,0.0003669611,0.0001002119,0.002186511,0.8065107,0.0003862575,0.03081827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1657968,"threshold_uncertainty_score":0.5546457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006281901961567491,"score_gpt":0.163965068893879,"score_spread":0.1576831669323115,"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."}}