{"id":"W6969284797","doi":"10.5683/sp3/izkcjw","title":"UNI-CEN Standardized Census Data Table - Province/Territory (PR) - 1966 - Wide Format (DBF) (Version 2023-03)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Table (database); Census; Documentation; Data file; Column (typography); File format; Data dictionary","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":[0.002377334,0.0009391637,0.0007966935,0.006401179,0.0006799151,0.001775437,0.001714613,0.0005535909,0.1969307],"category_scores_gemma":[0.01928913,0.0006559573,0.0004235362,0.01975805,0.0003433571,0.001897905,0.001491732,0.001518874,0.1189581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00346612,"about_ca_system_score_gemma":0.008472804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1572972,"about_ca_topic_score_gemma":0.1224896,"domain_scores_codex":[0.9976417,0.0003759663,0.0003177599,0.0003794435,0.001058221,0.0002269663],"domain_scores_gemma":[0.9906713,0.001155488,0.0006669064,0.001194317,0.00591231,0.0003997931],"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":[0.00003017557,0.0000111154,0.001087666,0.0001820344,0.000006527076,0.00001655066,0.00009644595,0.0001166988,0.00008136518,0.003049518,0.9846655,0.01065637],"study_design_scores_gemma":[0.00002052929,0.000005236674,0.005762284,0.0001117164,0.000004985545,0.00003605797,0.0001655752,0.0001248692,0.0001492439,0.0009763443,0.9926282,0.00001496508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006043961,0.00008034903,0.001636769,0.000209692,0.0001977703,0.0002315658,0.97973,0.0008351563,0.01647431],"genre_scores_gemma":[0.003855664,0.0003313098,0.008044132,0.0001756801,0.00006008431,0.001052581,0.9641583,0.001076622,0.02124558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427027,"threshold_uncertainty_score":0.6587987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729587753077232,"score_gpt":0.2444109489698447,"score_spread":0.2071150714390724,"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."}}