{"id":"W6969525374","doi":"10.5683/sp3/ybci8o","title":"UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1966 - Wide Format (DBF) (Version 2023-03)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","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","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":[0.001785259,0.001305998,0.000963816,0.006475649,0.000821425,0.001900715,0.002136655,0.0006960091,0.1170568],"category_scores_gemma":[0.01135343,0.0007736296,0.0005641569,0.0206939,0.0003464548,0.001976568,0.00164717,0.001550592,0.1037683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002904347,"about_ca_system_score_gemma":0.006241481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1237058,"about_ca_topic_score_gemma":0.1140072,"domain_scores_codex":[0.9979618,0.000300422,0.0003013528,0.0004709828,0.0007202722,0.0002452368],"domain_scores_gemma":[0.9941549,0.0007571548,0.0005301088,0.0009996819,0.003235159,0.0003231011],"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":[0.0000200752,0.000008741047,0.0009682986,0.00017504,0.000007553788,0.00001374252,0.00005069988,0.00009888364,0.00007638818,0.001170848,0.9940047,0.003404977],"study_design_scores_gemma":[0.00002525272,0.000003522991,0.005900776,0.0001358198,0.000006608192,0.00002972579,0.0001327331,0.0001053289,0.0001701495,0.0006768002,0.9927953,0.00001785209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001561172,0.00001910484,0.0002355632,0.0000429777,0.00002896155,0.00003696274,0.9972225,0.0001836035,0.00207409],"genre_scores_gemma":[0.0007889593,0.00005188535,0.001215974,0.00004391316,0.000009997533,0.0003050638,0.9946719,0.000210287,0.002702089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1237058,"threshold_uncertainty_score":0.391594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04135069354520924,"score_gpt":0.2980236743650758,"score_spread":0.2566729808198665,"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."}}