{"id":"W7131303130","doi":"10.25549/wpacards-c8-160596","title":"WPA household census for 2007 SAN MIGUEL ST, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); American Community Survey; Value (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007342687,0.001254219,0.001178319,0.003829992,0.0005675426,0.001971177,0.001601408,0.0005242772,0.08063485],"category_scores_gemma":[0.004893437,0.000612531,0.0006082005,0.01057546,0.0001949726,0.001291757,0.0009788568,0.001487091,0.08745101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002152273,"about_ca_system_score_gemma":0.003920355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1361721,"about_ca_topic_score_gemma":0.1503782,"domain_scores_codex":[0.9990664,0.0001197451,0.0001317061,0.0002364696,0.0003312,0.000114471],"domain_scores_gemma":[0.9972157,0.0002949269,0.0002715002,0.0002530378,0.001810973,0.0001538244],"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":[0.000007057477,0.000005001104,0.0006745315,0.0001066009,0.000007517339,0.000005530556,0.00001092477,0.0000444657,0.000006011039,0.000237864,0.9975032,0.00139124],"study_design_scores_gemma":[0.00006579767,0.000006631136,0.01650291,0.0003185315,0.00002248982,0.00003174057,0.000189512,0.0002128623,0.00006769211,0.0005561971,0.9820062,0.00001956135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001154597,0.00005737796,0.00004555266,0.00004886248,0.00001816358,0.000009710059,0.9984427,0.00004815884,0.001213968],"genre_scores_gemma":[0.0005250653,0.0001610697,0.0001594397,0.00004065141,0.00001438528,0.0001133848,0.9965503,0.0000400618,0.002395557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1361721,"threshold_uncertainty_score":0.2707589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496629652257117,"score_gpt":0.1797242319022783,"score_spread":0.1647579353797071,"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."}}