{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005265258,0.00027401,0.0002916276,0.0003229294,0.0006081285,0.0001822961,0.001082483,0.000114306,0.0008068163],"category_scores_gemma":[0.00004057097,0.0001896362,0.0001637838,0.0004773375,0.0006152086,0.0004569937,0.0003556877,0.0001623354,0.0005137368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009772208,"about_ca_system_score_gemma":0.001630483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5943666,"about_ca_topic_score_gemma":0.7780316,"domain_scores_codex":[0.9985404,0.00007991536,0.0001684023,0.0002404235,0.0005311414,0.000439728],"domain_scores_gemma":[0.9989889,0.000178733,0.0002919786,0.0002779237,0.00003476277,0.0002276868],"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":[0.00001030344,0.000005674403,0.0005192505,0.00001293485,0.0001561737,0.00001266696,0.002786298,5.650407e-7,1.01584e-7,0.03280481,0.961993,0.001698227],"study_design_scores_gemma":[0.0002160848,0.000009421095,0.0001581133,0.0001431848,0.00002456446,9.270248e-7,0.01006801,2.044741e-7,5.326705e-7,0.0008360192,0.9882689,0.0002740951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003701715,0.00008182642,0.0001045813,0.003342114,0.0004059683,0.0003926201,0.003765811,0.0002991252,0.9915709],"genre_scores_gemma":[0.002102001,0.0001297657,0.00004993737,0.0001951069,0.000653299,8.318217e-7,0.0002473968,0.00007068199,0.996551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.183665,"threshold_uncertainty_score":0.8834073,"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."}}