{"id":"W6931959319","doi":"10.5683/sp3/tn1p5w","title":"UNI-CEN Standardized Census Data Table - Census Tract (CT) - 1956 - Wide Format (CSV) (Version 2023-03)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Blood disorders and treatments","field":"Biochemistry, Genetics and Molecular Biology","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":[0.002045999,0.0009301286,0.0007461687,0.006063126,0.0005660655,0.001567748,0.001602941,0.000587599,0.1979727],"category_scores_gemma":[0.01823154,0.0005651833,0.000459438,0.01736464,0.0003253124,0.001666897,0.001305263,0.001402251,0.08059119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002768442,"about_ca_system_score_gemma":0.00633163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1124112,"about_ca_topic_score_gemma":0.0826523,"domain_scores_codex":[0.9981357,0.0003410273,0.0003458847,0.0003309286,0.0006860003,0.0001604403],"domain_scores_gemma":[0.9920535,0.001375758,0.0007529074,0.001010564,0.004430709,0.0003766377],"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":[0.00004162805,0.00001246892,0.001601965,0.0002294332,0.00001156758,0.00001960427,0.00009038256,0.0001302083,0.00008267521,0.002552323,0.9857143,0.009513519],"study_design_scores_gemma":[0.0000410191,0.00001098267,0.01150855,0.0002208723,0.00001204826,0.00006144169,0.0002145764,0.0002171271,0.0001909095,0.001544726,0.985954,0.00002368165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005863927,0.00007259022,0.001326134,0.0001888506,0.0001488759,0.0002191577,0.9875963,0.0007053119,0.009156491],"genre_scores_gemma":[0.004359574,0.0003046663,0.00640943,0.0002252239,0.00006507086,0.001166939,0.9726529,0.0007999438,0.01401624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8875888,"threshold_uncertainty_score":0.6622849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875437040338952,"score_gpt":0.2707852823053312,"score_spread":0.2520309119019417,"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."}}