{"id":"W6932318649","doi":"10.5683/sp3/lwkjvu","title":"UNI-CEN Standardized Census Data Table - Census Metropolitan Area (CMA) - 2006 - Long Format (DTA) (Version 2023-03)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Census; Table (database); Documentation; Data file; Column (typography); File format; 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":[0.00336258,0.001086863,0.0009393838,0.007169024,0.0008414569,0.002599553,0.001892828,0.0007957063,0.1800629],"category_scores_gemma":[0.02614741,0.000768917,0.0005018674,0.02112572,0.0003520189,0.002679405,0.001705284,0.001986993,0.1213385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003793452,"about_ca_system_score_gemma":0.009646066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08900619,"about_ca_topic_score_gemma":0.07078475,"domain_scores_codex":[0.9967793,0.0005563672,0.0005220903,0.0004782979,0.001414544,0.0002494957],"domain_scores_gemma":[0.9854469,0.002006133,0.0012391,0.001691615,0.009097923,0.0005182681],"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":[0.00002450126,0.00001301752,0.0008143104,0.0001596793,0.000005954499,0.00001177814,0.00008672668,0.0001154289,0.0000680294,0.002661061,0.9868813,0.00915833],"study_design_scores_gemma":[0.00001885216,0.000006213299,0.00451917,0.0001370812,0.000005677584,0.00002924289,0.0001818109,0.0001858716,0.0001665729,0.001265306,0.9934664,0.00001768717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006003999,0.00008733982,0.002694381,0.0002927986,0.0002248297,0.0003336233,0.9768464,0.001373431,0.01754673],"genre_scores_gemma":[0.003274383,0.0003745577,0.01195898,0.0002834353,0.00007237473,0.001807402,0.9618906,0.00161899,0.01871916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9109938,"threshold_uncertainty_score":0.6023703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249772124596883,"score_gpt":0.2697637161781781,"score_spread":0.2372659949322092,"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."}}