{"id":"W6931705726","doi":"10.5683/sp3/x96cyc","title":"UNI-CEN Boundaries (DBF-Original Shorelines) - Census Tract (CT) - 1996 - geojson format (WGS84 / EPSG:4326)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; North American Datum of 1927; Census; File format; Documentation; Geocoding; 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":[0.001224553,0.001630146,0.001139022,0.004636683,0.0007224514,0.002228698,0.002479453,0.0009286374,0.08122025],"category_scores_gemma":[0.005900274,0.0008434043,0.0007172279,0.0122145,0.0003520388,0.001394001,0.001777292,0.001660276,0.1379063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520119,"about_ca_system_score_gemma":0.003727399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07894393,"about_ca_topic_score_gemma":0.09316299,"domain_scores_codex":[0.9987795,0.0001615733,0.0001767444,0.000293806,0.0003607925,0.0002276838],"domain_scores_gemma":[0.9970298,0.0003399908,0.0003253428,0.0008535406,0.001213093,0.0002383234],"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":[0.00002854916,0.000008879299,0.0009081829,0.0002091233,0.000009690471,0.00001131431,0.00002590877,0.0001076561,0.00006765358,0.0005157407,0.9964932,0.001614193],"study_design_scores_gemma":[0.00006415117,0.000004552578,0.004923705,0.0001301984,0.000007389901,0.00002617068,0.0000969469,0.0001130837,0.000256071,0.0003789313,0.9939864,0.00001236521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001061281,0.00001552394,0.00005783233,0.00002132719,0.00001126723,0.000007859375,0.9986541,0.0001858537,0.000940014],"genre_scores_gemma":[0.0002613942,0.00002539672,0.0001808685,0.0000114665,0.000002710252,0.00004739558,0.998623,0.00006607446,0.00078168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08122025,"threshold_uncertainty_score":0.2717088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04513255298565855,"score_gpt":0.3262939856268676,"score_spread":0.2811614326412091,"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."}}