{"id":"W6931904762","doi":"10.5683/sp3/ybny1c","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Census Metropolitan Area (CMA) - 2011 - geojson format (WGS84 / EPSG:4326)","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Shapefile; Census; North American Datum of 1927; File format; Documentation; Geocoding; Metropolitan area; Boundary (topology); Data file","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":[0.001689738,0.001567272,0.001202121,0.004583151,0.000778836,0.00234549,0.002751288,0.001125031,0.09303941],"category_scores_gemma":[0.00841052,0.0009603666,0.000876755,0.01208294,0.0004058923,0.00150781,0.001908094,0.001903141,0.1301872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003157893,"about_ca_system_score_gemma":0.005354591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08254101,"about_ca_topic_score_gemma":0.1094021,"domain_scores_codex":[0.9985203,0.0002136654,0.0002294842,0.0003545337,0.0004191792,0.0002628027],"domain_scores_gemma":[0.9960567,0.0006197217,0.0004041237,0.0009973868,0.001622313,0.0002998107],"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":[0.00002673614,0.00000928877,0.0006835403,0.0002491767,0.0000109083,0.000008465639,0.00002572928,0.0001293568,0.00006075651,0.0006673681,0.9966733,0.00145531],"study_design_scores_gemma":[0.00008695298,0.000004729678,0.004117471,0.0001621691,0.000009455374,0.0000195698,0.0001025052,0.0001597188,0.0002617834,0.0006932705,0.994365,0.00001727835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000754763,0.00001174374,0.00007019763,0.00002479976,0.000009949649,0.000008175362,0.9987445,0.0002202082,0.0008348678],"genre_scores_gemma":[0.0002571717,0.00002344398,0.0003070563,0.000017573,0.000002640566,0.0000657432,0.9985636,0.00009774356,0.000665108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.917459,"threshold_uncertainty_score":0.3112478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491554267638462,"score_gpt":0.3940249352226224,"score_spread":0.2448695084587763,"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."}}