{"id":"W6894285730","doi":"10.5683/sp3/bvv7mv","title":"UNI-CEN Boundaries (CBF-Original Shorelines) - Census Metropolitan Area (CMA) - 2021 - 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; Metropolitan area; 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":[0.001462513,0.001972617,0.001470458,0.00464286,0.001010758,0.002771907,0.00317773,0.001290175,0.1227952],"category_scores_gemma":[0.006371668,0.001224169,0.0009882979,0.01281637,0.0004208359,0.002024271,0.002797239,0.001948359,0.2071014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002957636,"about_ca_system_score_gemma":0.004758132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1057231,"about_ca_topic_score_gemma":0.1399069,"domain_scores_codex":[0.9983505,0.0002039029,0.0002001298,0.0004122246,0.0004876717,0.0003454748],"domain_scores_gemma":[0.9962525,0.0003869921,0.0003260843,0.001041357,0.001651159,0.0003418882],"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":[0.00001975396,0.000005801054,0.0005025662,0.000161415,0.000008580118,0.000007089005,0.00002031169,0.00005579785,0.00005629295,0.000440513,0.9977114,0.001010272],"study_design_scores_gemma":[0.00006010483,0.000004298123,0.003907532,0.0001262685,0.000007171977,0.00002059236,0.00009159152,0.00007947962,0.0002065338,0.0004905635,0.9949889,0.00001703661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004966939,0.00001009559,0.00004076714,0.00002170216,0.00001276856,0.000006347183,0.9989414,0.0001807174,0.0007366563],"genre_scores_gemma":[0.0001738635,0.00001660728,0.000171619,0.00001724308,0.000002643742,0.00004226225,0.9988428,0.00009598221,0.0006370003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8942769,"threshold_uncertainty_score":0.4107909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695800587364852,"score_gpt":0.3029735447086307,"score_spread":0.2660155388349822,"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."}}