{"id":"W6980401589","doi":"","title":"Canada VMap1, Library 16: Damn/Weir Nodes","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; Digital mapping; Base (topology); National library","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":["insufficient_payload"],"category_scores_codex":[0.0004539159,0.0009595526,0.0005782053,0.004500861,0.003896003,0.004867191,0.001946234,0.0005304021,0.4793836],"category_scores_gemma":[0.003016552,0.0006770471,0.0004172185,0.0147678,0.0006100246,0.001912526,0.00156293,0.0007671556,0.2204736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01532199,"about_ca_system_score_gemma":0.03932971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9158623,"about_ca_topic_score_gemma":0.949719,"domain_scores_codex":[0.9993067,0.00002867868,0.0000226576,0.0001075833,0.0003947256,0.0001397761],"domain_scores_gemma":[0.9981529,0.00008774291,0.00005903541,0.0001676614,0.001249101,0.0002835392],"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":[0.00002484158,0.000007257068,0.0004267032,0.00009514264,0.000003019192,0.00002558476,0.0001378606,0.0002321319,0.00009902464,0.004378649,0.9637946,0.03077515],"study_design_scores_gemma":[0.00000424445,0.000001510315,0.0009933829,0.00002992301,0.00000201028,0.00001490281,0.00009665235,0.0001877545,0.0001778648,0.0004996958,0.9979827,0.000009320134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001609933,0.0005573839,0.003644464,0.0005291909,0.0001797122,0.0001979615,0.3524073,0.007618401,0.6332557],"genre_scores_gemma":[0.01218955,0.001369804,0.009475086,0.000187665,0.00005910128,0.0001838626,0.2096012,0.006039756,0.7608939],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5206164,"threshold_uncertainty_score":0.742596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735323937485544,"score_gpt":0.2083035537065517,"score_spread":0.1909503143316963,"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."}}