{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005054572,0.0001104486,0.000161899,0.0000102556,0.0002392754,0.0001021676,0.002471733,0.00004289492,0.0008640458],"category_scores_gemma":[0.001827859,0.0000966204,0.00002008757,0.00004220945,0.0004151533,0.003394605,0.002137979,0.00006318196,0.0008617686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003302742,"about_ca_system_score_gemma":0.00001365442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004005113,"about_ca_topic_score_gemma":0.002716948,"domain_scores_codex":[0.9988828,0.00003952448,0.0002093368,0.0003702145,0.0003048311,0.0001933225],"domain_scores_gemma":[0.9962983,0.0001116529,0.0002256382,0.003296278,0.000009372107,0.00005875872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000043837,0.00003484652,0.8259727,0.0001592393,0.00001547245,0.00003143134,0.0002275754,0.00001820513,0.01646645,0.0001090722,0.1338491,0.02307212],"study_design_scores_gemma":[0.0001362721,0.0001095623,0.740961,0.0004155582,0.00001486304,0.00002519349,0.00005074593,0.0003905793,0.007701357,0.0001283382,0.2497881,0.0002784234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877419,0.0005356728,0.001931733,0.0009988543,0.001110373,0.0006053227,0.0008404039,0.0001506432,0.006085047],"genre_scores_gemma":[0.9883428,0.0001216535,0.008566321,0.00006742273,0.00005332608,0.00001039021,0.00004400469,0.00001616217,0.00277788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159391,"threshold_uncertainty_score":0.9999162,"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."}}