{"id":"W7027210905","doi":"","title":"Canada VMap1, Library 66: Bluff Lines","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); Vector map; Topographic map (neuroanatomy); Product (mathematics); Bluff; Geographic information system; Natural (archaeology); Base (topology); Viewshed analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007523496,0.001231765,0.0006433998,0.006147635,0.005717167,0.007000951,0.002580973,0.0008369037,0.6022303],"category_scores_gemma":[0.00589291,0.0008455137,0.0004786934,0.01866703,0.0009193548,0.002662577,0.001929048,0.0009712054,0.3980796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02136638,"about_ca_system_score_gemma":0.06248416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9283041,"about_ca_topic_score_gemma":0.9433675,"domain_scores_codex":[0.9984276,0.00005422054,0.00004988318,0.0001884138,0.001022639,0.0002572503],"domain_scores_gemma":[0.9943811,0.0001859489,0.00009967449,0.0004399347,0.00433533,0.0005579655],"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":[0.00001754389,0.000008378536,0.0002045794,0.00006120869,0.000001223434,0.00001891248,0.00009997435,0.00007980325,0.00008096177,0.002633326,0.96834,0.02845421],"study_design_scores_gemma":[0.000003338589,0.00000160637,0.0007106558,0.00002422951,0.00000115801,0.00001447812,0.00007333892,0.00005800004,0.0001296328,0.0002570132,0.9987192,0.000007267738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009129769,0.0003675185,0.001828877,0.0006986908,0.0002018169,0.0001951426,0.185962,0.005957543,0.8038754],"genre_scores_gemma":[0.00424843,0.0006453506,0.003335305,0.0002321163,0.00004858735,0.000119305,0.09155297,0.003328167,0.8964897],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6022303,"threshold_uncertainty_score":0.5673702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766705525108091,"score_gpt":0.2106753141600712,"score_spread":0.1930082589089903,"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."}}