{"id":"W2910132188","doi":"","title":"Missouri Department Of Natural Resources Wild Areas (2010)","year":2016,"lang":"en","type":"dataset","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Natural resource; Wilderness; Geography; Wilderness area; Natural (archaeology); Butte; Geological survey; Orthophoto; Boundary (topology); Quarter (Canadian coin); Landform; Environmental resource management; Archaeology; Environmental planning; Cartography; Ecology; Environmental science; Remote sensing; Geology","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":[0.0005719134,0.001485453,0.0009302846,0.005498641,0.0006717966,0.001605072,0.001370884,0.0008289708,0.03333589],"category_scores_gemma":[0.003830505,0.0006901589,0.0005814407,0.01100155,0.0003159678,0.0008611078,0.001259174,0.001075311,0.04189786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996333,"about_ca_system_score_gemma":0.004217761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.197803,"about_ca_topic_score_gemma":0.2998767,"domain_scores_codex":[0.9993205,0.00004740322,0.00007737047,0.0001867596,0.0002456414,0.0001223794],"domain_scores_gemma":[0.9979612,0.0002586579,0.0003556543,0.0003776278,0.000803542,0.0002433396],"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":[0.00004770622,0.00002354455,0.005723698,0.0003347146,0.00002746478,0.00003019394,0.00004173199,0.0004084428,0.00009812701,0.0003940499,0.9888628,0.004007507],"study_design_scores_gemma":[0.00009130482,0.000009206873,0.02618599,0.0002854418,0.00003033244,0.00005452107,0.0001475784,0.000508439,0.0002970721,0.0003578972,0.9720036,0.00002850877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002228157,0.00002317638,0.00001721817,0.00001233543,0.000005692507,0.000003066871,0.9992765,0.00006016022,0.0003789985],"genre_scores_gemma":[0.0005713753,0.00004018354,0.0001107904,0.00001178214,0.000002264278,0.00002424537,0.9985745,0.0000171479,0.0006477445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.197803,"threshold_uncertainty_score":0.3933033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357695351943888,"score_gpt":0.2192247188509401,"score_spread":0.1956477653315012,"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."}}