{"id":"W7027163187","doi":"","title":"Canada VMap1, Library 17: Tundra Areas","year":2016,"lang":"en","type":"other","venue":"The Faculty Digital Archive (New York University)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Product (mathematics); Geographic information system; Natural resource; Topographic map (neuroanatomy); Tundra; Vector map; Digital mapping","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":[0.0003025292,0.0007657603,0.0004350224,0.004556767,0.003485701,0.003738607,0.001443724,0.0003398489,0.2139023],"category_scores_gemma":[0.001890149,0.000434387,0.0003647133,0.01708995,0.0004111291,0.0009986121,0.001250804,0.00049559,0.05339614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01731406,"about_ca_system_score_gemma":0.05029662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9734063,"about_ca_topic_score_gemma":0.9818252,"domain_scores_codex":[0.9994962,0.00001853527,0.00001676278,0.00007277628,0.0002788111,0.0001167867],"domain_scores_gemma":[0.9986332,0.00004088575,0.00005328141,0.00008922854,0.000990445,0.0001928789],"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":[0.00004719712,0.00001279187,0.002294613,0.0002240326,0.000008884906,0.00007830459,0.0003883435,0.0003077571,0.0002428166,0.003452987,0.9330615,0.05988082],"study_design_scores_gemma":[0.000006963917,0.000002711275,0.009472272,0.0000508567,0.000004538172,0.00003383892,0.0002756554,0.0001599829,0.0002689637,0.0002347434,0.9894784,0.00001099262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004941951,0.0009377231,0.001474117,0.0005289119,0.0001547822,0.0002489612,0.5863616,0.002682063,0.4026699],"genre_scores_gemma":[0.04007557,0.002430961,0.007634316,0.0002768777,0.00006779341,0.0002527845,0.3758939,0.002423102,0.5709448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2139023,"threshold_uncertainty_score":0.7155745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640969593997895,"score_gpt":0.2051365611868932,"score_spread":0.1887268652469142,"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."}}