{"id":"W2735021980","doi":"10.3133/ds1055","title":"Evidence of absence (v2.0) software user guide","year":2017,"lang":"en","type":"article","venue":"Data series","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; U.S. Geological Survey; Ministère des Forêts, de la Faune et des Parcs; Washington State University; National Oceanic and Atmospheric Administration; Duke Energy","keywords":"Software; Software suite; Computer science; Environmental resource management; Geography; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.008562766,0.002072145,0.002551511,0.007988048,0.0006797285,0.004071841,0.004226664,0.001691442,0.2468851],"category_scores_gemma":[0.03883217,0.003047516,0.002903121,0.002936648,0.0007915146,0.002959509,0.002893115,0.002613357,0.07496622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007678519,"about_ca_system_score_gemma":0.003520259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047216,"about_ca_topic_score_gemma":0.007260726,"domain_scores_codex":[0.9972889,0.0007071752,0.0007216163,0.0004682124,0.0006504553,0.0001635877],"domain_scores_gemma":[0.9728147,0.02192648,0.001137066,0.001543541,0.002010701,0.0005675867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005666814,0.00009614599,0.006654832,0.003976773,0.0004016986,0.0004223913,0.0002113487,0.003297261,0.0009214144,0.004175638,0.8996748,0.07960083],"study_design_scores_gemma":[0.001041545,0.0001963018,0.008815445,0.002204306,0.0003879086,0.001597335,0.0001536674,0.03061165,0.004919334,0.04197664,0.9076675,0.0004284939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004467951,0.00135515,0.1716563,0.001046786,0.0007356222,0.002280869,0.4628969,0.3330304,0.02252997],"genre_scores_gemma":[0.03634745,0.001379711,0.418541,0.002610982,0.0004111818,0.01288068,0.30107,0.2001259,0.026633],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2468851,"threshold_uncertainty_score":0.8259131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787197188296066,"score_gpt":0.2957371537884764,"score_spread":0.2478651819055158,"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."}}