{"id":"W6969395645","doi":"10.5683/sp3/alaoi7","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Census Division (CD) - 1921 - File Geodatabase format (NAD83 CSRS / EPSG:3348)","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; File format; North American Datum of 1927; Documentation; Census; Data file; Boundary (topology); Geocoding; Spatial database","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":[0.00139454,0.001805649,0.00134945,0.00476997,0.001005014,0.00260705,0.002992332,0.001112334,0.1364768],"category_scores_gemma":[0.006442832,0.001104559,0.0008657331,0.01333038,0.0004054742,0.001920601,0.002504053,0.001899803,0.2117014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002901586,"about_ca_system_score_gemma":0.004738204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.109432,"about_ca_topic_score_gemma":0.1547339,"domain_scores_codex":[0.9984174,0.0001918566,0.000191357,0.0003917126,0.000491995,0.0003156815],"domain_scores_gemma":[0.9962001,0.0003837056,0.000315153,0.00101986,0.001760616,0.0003205674],"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":[0.00001910617,0.00000588957,0.0005080411,0.0001584821,0.000007947352,0.000006718599,0.00002037087,0.00005077918,0.00005644136,0.0004606781,0.9975467,0.001158827],"study_design_scores_gemma":[0.00005295757,0.000003812054,0.003443809,0.0001114507,0.00000647232,0.000017637,0.00008706092,0.00006783946,0.0001881526,0.0004465446,0.9955595,0.0000147521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005643587,0.0000110619,0.00004614406,0.00002192398,0.00001235398,0.00000679991,0.9986833,0.0001763252,0.0009856981],"genre_scores_gemma":[0.0002121903,0.00001926308,0.0002054435,0.00001739671,0.000002876975,0.00004709086,0.9985122,0.0001023671,0.0008810753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.890568,"threshold_uncertainty_score":0.4565606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042716593126745,"score_gpt":0.2997359457886864,"score_spread":0.269308779857419,"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."}}