{"id":"W6980387679","doi":"","title":"Canada VMap1, Library 17: Firebreak 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); Product (mathematics); Vector map; Geographic information system; Base (topology); National library; Natural (archaeology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004944194,0.000275581,0.0002906636,0.0002929177,0.0006179297,0.0001771228,0.001056845,0.000115013,0.0009900928],"category_scores_gemma":[0.00003589198,0.0001905111,0.0001641393,0.0004647406,0.0005937786,0.0004584249,0.0003453459,0.0001546929,0.0004147893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009889881,"about_ca_system_score_gemma":0.001579474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6300845,"about_ca_topic_score_gemma":0.8057913,"domain_scores_codex":[0.9985702,0.00007170078,0.0001671381,0.0002395116,0.0005162333,0.0004352213],"domain_scores_gemma":[0.9989878,0.0001852522,0.0002881324,0.0002789779,0.00003306885,0.0002267632],"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":[0.00001007945,0.00000554594,0.0005608421,0.00001161663,0.0001513789,0.00001214712,0.002503507,6.283846e-7,6.243791e-8,0.02310451,0.9718439,0.001795764],"study_design_scores_gemma":[0.0002160454,0.000009026004,0.000226114,0.0001533697,0.0000241229,0.000001121691,0.007892242,2.554929e-7,3.09368e-7,0.0007322288,0.9904702,0.0002749473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002498151,0.00008334043,0.00009041475,0.003688652,0.0003429331,0.0003838827,0.00432955,0.0003032169,0.9907531],"genre_scores_gemma":[0.001193292,0.0001144311,0.00005191474,0.0002351887,0.0006314867,8.753677e-7,0.0002904338,0.00006898031,0.9974134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1757068,"threshold_uncertainty_score":0.9999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672593364114384,"score_gpt":0.2090691692955451,"score_spread":0.1923432356544013,"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."}}