{"id":"W6913574242","doi":"10.5683/sp3/5e1viv","title":"UNI-CEN Boundaries (CBF-Harmonized Shorelines) - Census Division (CD) - 1891 - File Geodatabase format (NAD83 CSRS / EPSG:3348)","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; File format; North American Datum of 1927; Documentation; Census; Data file; 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":[0.001440993,0.001773869,0.001341537,0.004405214,0.0009566206,0.002558508,0.003055084,0.00108541,0.1267846],"category_scores_gemma":[0.006078075,0.001147361,0.0009193181,0.01216247,0.0003858941,0.001903571,0.002583328,0.00186853,0.1943514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712464,"about_ca_system_score_gemma":0.004522292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1130197,"about_ca_topic_score_gemma":0.1543145,"domain_scores_codex":[0.9984301,0.0001999306,0.0001874747,0.0003962959,0.0004728925,0.0003133621],"domain_scores_gemma":[0.9963875,0.0003529316,0.0003137295,0.001006648,0.001643629,0.0002955637],"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":[0.00002097663,0.000006347937,0.0005787568,0.0001532503,0.0000093489,0.000007001749,0.00002074967,0.00005858038,0.00005755701,0.0004605746,0.997434,0.001192888],"study_design_scores_gemma":[0.00006020838,0.000004566087,0.004407734,0.0001189352,0.000007334735,0.00002030323,0.00009441768,0.00008621722,0.0002103123,0.000462302,0.9945107,0.0000169896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006428869,0.00001087216,0.00004976698,0.00002127731,0.00001322728,0.000007111207,0.9987215,0.0001926649,0.0009192246],"genre_scores_gemma":[0.0002360448,0.00001767166,0.0002128929,0.00001682129,0.00000294646,0.00004811363,0.9985564,0.0001049759,0.0008041105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8869802,"threshold_uncertainty_score":0.4241368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872650165678075,"score_gpt":0.281499652858098,"score_spread":0.2527731512013173,"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."}}