{"id":"W6894393204","doi":"10.5683/sp3/dxchvq","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Census Subdivision (CSD) - 1991 - Esri Shapefile format (WGS84 / EPSG:4326)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; North American Datum of 1927; File format; Documentation; Census; Boundary (topology); Data file; Geocoding","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001521478,0.001786282,0.001378447,0.004829419,0.0009889078,0.002617254,0.00306542,0.001058294,0.1114477],"category_scores_gemma":[0.006298957,0.001203331,0.000890426,0.01399772,0.0003874264,0.001856324,0.002348019,0.002104862,0.1643674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003055419,"about_ca_system_score_gemma":0.004954258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.118125,"about_ca_topic_score_gemma":0.1527638,"domain_scores_codex":[0.9983711,0.0002121485,0.0002033666,0.0003871651,0.0005195065,0.000306701],"domain_scores_gemma":[0.9964354,0.0004231719,0.0003331583,0.0009677862,0.001553738,0.0002867658],"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":[0.00002252114,0.000006915594,0.0006589837,0.0002044033,0.00001005587,0.000008153147,0.0000284432,0.00006621357,0.00006835145,0.000556966,0.9970474,0.001321782],"study_design_scores_gemma":[0.00005452043,0.000003828209,0.004563016,0.0001206235,0.00000782253,0.00001847227,0.00008812895,0.00007167846,0.0001864982,0.0004293149,0.9944409,0.00001528705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000643637,0.00001325555,0.0000458473,0.00002156004,0.00001141711,0.000006364548,0.9987916,0.0001347861,0.00091076],"genre_scores_gemma":[0.0002076125,0.00002291269,0.0001948084,0.00001434395,0.000002694673,0.00004846982,0.9986622,0.00007844653,0.000768569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.118125,"threshold_uncertainty_score":0.3728296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339064783115541,"score_gpt":0.3048126294242908,"score_spread":0.2709061511127367,"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."}}