{"id":"W2772764433","doi":"10.1038/sdata.2017.187","title":"Temporally inter-comparable maps of terrestrial wilderness and the Last of the Wild","year":2017,"lang":"en","type":"article","venue":"Scientific Data","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Australian Research Council; Wildlife Conservation Society","keywords":"Wilderness; Wilderness area; Natural (archaeology); Geography; Biodiversity; Habitat; Disturbance (geology); Ecology; Underpinning; Environmental resource management; Environmental science; Archaeology; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001013711,0.00006251279,0.0001159372,0.00000886754,0.0004907324,0.0002163552,0.002488719,0.00002074838,0.001744224],"category_scores_gemma":[0.0001948407,0.00003278267,0.00003135703,0.00009047083,0.003616667,0.0003025383,0.002741113,0.00005792583,0.00005998782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002081352,"about_ca_system_score_gemma":0.00001283752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008264385,"about_ca_topic_score_gemma":0.002030286,"domain_scores_codex":[0.9990891,0.00004575606,0.0001743685,0.0002725719,0.0002926631,0.0001255509],"domain_scores_gemma":[0.9974816,0.00002979805,0.000246392,0.00220402,0.000007108336,0.00003112561],"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":[0.0001037112,0.000132267,0.1068549,0.00002022792,0.00001732964,5.508024e-7,0.0005066562,0.00000335877,0.004724506,0.001828035,0.8813491,0.004459328],"study_design_scores_gemma":[0.002239644,0.00001886574,0.3393481,0.00007042746,0.00003961175,0.000005599405,0.00161196,0.0006676861,0.003654141,0.00103324,0.6511614,0.0001492351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572704,0.00004946272,0.00003576295,0.001922383,0.002044171,0.0003491254,0.004354565,0.000009072449,0.03396505],"genre_scores_gemma":[0.9981838,0.000005385322,0.00001431511,0.00002275078,0.0000153948,0.000002292069,0.0002132767,0.000002678829,0.001540049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2324933,"threshold_uncertainty_score":0.9991683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06972847364218235,"score_gpt":0.2849240239335831,"score_spread":0.2151955502914007,"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."}}