{"id":"W6913082608","doi":"10.5683/sp3/g1wgna","title":"UNI-CEN Boundaries (DBF-Original Shorelines) - Census Metropolitan Area (CMA) - 2006 - File Geodatabase format (WGS84 / EPSG:4326)","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; North American Datum of 1927; File format; Census; Documentation; Geocoding; Data file; Boundary (topology); Metropolitan area","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":[0.001513089,0.001894569,0.001502275,0.004764151,0.0009936686,0.002649986,0.002958413,0.001140308,0.1079071],"category_scores_gemma":[0.006211836,0.001218606,0.0009521133,0.01356662,0.0003889585,0.001911614,0.002374588,0.001994813,0.1900602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002800133,"about_ca_system_score_gemma":0.004589612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09920885,"about_ca_topic_score_gemma":0.1330554,"domain_scores_codex":[0.9983258,0.0002168573,0.0002091254,0.0004088679,0.0005271375,0.0003123654],"domain_scores_gemma":[0.9962817,0.0004007868,0.0003368065,0.001014474,0.001652162,0.0003140422],"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":[0.00001978092,0.000006607315,0.0005317947,0.0001595904,0.000008345065,0.000006862323,0.00002218119,0.00005670716,0.00005481475,0.0004154942,0.9976404,0.001077378],"study_design_scores_gemma":[0.00005264295,0.000004406639,0.004231146,0.0001220335,0.000007421896,0.0000211292,0.00009096563,0.00008307806,0.000224468,0.0004332825,0.9947127,0.00001675149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005803448,0.00001126107,0.0000454058,0.00002003437,0.00001125887,0.000006374482,0.9988434,0.0001771972,0.0008269416],"genre_scores_gemma":[0.0001754664,0.0000188496,0.0001913352,0.00001476363,0.000002408702,0.00004161596,0.9987665,0.00008619688,0.0007027715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9007912,"threshold_uncertainty_score":0.3609853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03676143104164075,"score_gpt":0.3020114481410812,"score_spread":0.2652500170994405,"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."}}