{"id":"W6968643378","doi":"10.5281/zenodo.2653765","title":"United States Census Bureau Data Repository","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Public Safety Research and Treatment","funders":"","keywords":"Census; American Community Survey; Politics; Data collection; Survey data collection; Data system","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":[0.004016543,0.001272245,0.00190842,0.01194965,0.001173004,0.002812981,0.002907957,0.001362249,0.154514],"category_scores_gemma":[0.03347122,0.0007300774,0.0007850119,0.0389577,0.0004962542,0.002095695,0.001865827,0.002830341,0.1134839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373552,"about_ca_system_score_gemma":0.01228117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06249928,"about_ca_topic_score_gemma":0.03695724,"domain_scores_codex":[0.9939169,0.0009450023,0.001301033,0.0008245083,0.002565582,0.0004469527],"domain_scores_gemma":[0.9766117,0.004036961,0.002124065,0.001940827,0.01452463,0.0007617974],"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":[0.00002603532,0.00002155642,0.0007784882,0.0003604724,0.00001586227,0.00001714855,0.00005123216,0.0001005077,0.00001985291,0.001826934,0.9871738,0.009608193],"study_design_scores_gemma":[0.00006791972,0.00001477931,0.006743449,0.0006428544,0.00003057871,0.00005143367,0.0001985197,0.0001932242,0.00007131269,0.001918126,0.9900327,0.00003507117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001803958,0.0002214864,0.000417391,0.0004161973,0.0001725645,0.0002022703,0.9859795,0.0003915401,0.01201869],"genre_scores_gemma":[0.001917858,0.001155837,0.001963079,0.0005470841,0.0001152424,0.001571264,0.9828371,0.0002796874,0.009612794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.154514,"threshold_uncertainty_score":0.5169007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679267209355228,"score_gpt":0.3751061419406763,"score_spread":0.2071794210051535,"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."}}