{"id":"W7131246588","doi":"10.25549/wpacards-ouc11573335","title":"WPA household census for 6434 SPECHT AVE, 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; American Community Survey; Administration (probate law); 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":[0.0006758187,0.001232422,0.00107921,0.003125474,0.0005837637,0.001914548,0.001368341,0.0005519328,0.09025031],"category_scores_gemma":[0.004301732,0.0006181552,0.0005458187,0.008912142,0.0001872626,0.001290606,0.0009596404,0.0014841,0.1017048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828752,"about_ca_system_score_gemma":0.003564844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1173255,"about_ca_topic_score_gemma":0.1241324,"domain_scores_codex":[0.9991822,0.0001035655,0.0001125021,0.0002376009,0.0002636074,0.0001004885],"domain_scores_gemma":[0.9975827,0.0002743343,0.0002362344,0.0002537673,0.00149482,0.0001581722],"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":[0.00000678135,0.000005275793,0.0006346373,0.0001008957,0.000006372421,0.000005862605,0.000009769242,0.00004111279,0.00000708776,0.0002202353,0.9974821,0.001479926],"study_design_scores_gemma":[0.00006253969,0.000006690235,0.01319165,0.0002938771,0.00001825531,0.00002705236,0.0001513304,0.000189512,0.00006113344,0.0004770308,0.9855055,0.00001548769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001069285,0.00005231985,0.00004273098,0.00005048253,0.00001534198,0.000008747677,0.9983406,0.00004769745,0.001335203],"genre_scores_gemma":[0.000546372,0.0001466935,0.000156416,0.00004176026,0.00001243597,0.000103507,0.9959442,0.00004007429,0.003008516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1173255,"threshold_uncertainty_score":0.3019174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453867098061493,"score_gpt":0.1738164467294036,"score_spread":0.1592777757487887,"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."}}