{"id":"W6894272709","doi":"10.5683/sp3/oru0zp","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Division (CD) - 1996 - File Geodatabase format (WGS84 / EPSG:4326)","year":2022,"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; Geocoding; Data file; Boundary (topology)","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":[0.001674357,0.00186768,0.001379991,0.004680671,0.0009269442,0.002616281,0.003225212,0.001064101,0.1042585],"category_scores_gemma":[0.006986813,0.001228903,0.0008872328,0.014538,0.0003610618,0.001889727,0.002420808,0.002026025,0.1493281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003194531,"about_ca_system_score_gemma":0.005123449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.121626,"about_ca_topic_score_gemma":0.1364796,"domain_scores_codex":[0.9984027,0.0002114848,0.0002093429,0.0003957463,0.0004979042,0.0002828932],"domain_scores_gemma":[0.9961739,0.0003841454,0.0003578694,0.001072499,0.001716561,0.0002949216],"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":[0.00002925609,0.00000767636,0.0007356677,0.0001957081,0.00001175445,0.000009636874,0.00002635036,0.00008807359,0.000069826,0.0005623928,0.9968157,0.001447891],"study_design_scores_gemma":[0.00006566243,0.000004192834,0.004578127,0.0001300983,0.000008173743,0.00001936223,0.00009003049,0.00009234375,0.00024657,0.0004590213,0.9942894,0.00001693027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007050109,0.00001041898,0.00004984718,0.0000210923,0.0000125789,0.000006803572,0.9988943,0.0001462721,0.0007882259],"genre_scores_gemma":[0.0002161057,0.00001885296,0.0002033496,0.0000129137,0.000002520346,0.00005499582,0.9986191,0.00008193009,0.0007902356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.878374,"threshold_uncertainty_score":0.3487794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944117702534846,"score_gpt":0.2829840806899824,"score_spread":0.2535429036646339,"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."}}