{"id":"W7131243781","doi":"10.25549/wpacards-c8-139688","title":"WPA household census for 1728 SOUTH CARMELINA AVE, Los Angeles","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":[0.0006245348,0.001235432,0.001055083,0.003154154,0.0005644673,0.00186542,0.001451441,0.0005199336,0.07411183],"category_scores_gemma":[0.004041516,0.0005641695,0.0005414924,0.008225822,0.0001838024,0.001250242,0.0009281563,0.001451152,0.08660138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855223,"about_ca_system_score_gemma":0.003165654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1389677,"about_ca_topic_score_gemma":0.1648372,"domain_scores_codex":[0.9992895,0.00009179951,0.00009518059,0.0002066496,0.0002293248,0.00008751229],"domain_scores_gemma":[0.9978337,0.0002539636,0.0002304644,0.0002459658,0.001290012,0.0001459466],"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":[0.000006946328,0.000005435891,0.000745539,0.0001033776,0.000006861166,0.000006589219,0.00001077761,0.00004288711,0.000006536382,0.000204906,0.9974522,0.001407889],"study_design_scores_gemma":[0.00006367594,0.000006939404,0.01500088,0.0002983294,0.00001900895,0.00003073953,0.000167773,0.0002235454,0.00006553815,0.0004758737,0.9836305,0.00001708097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001342745,0.00005592903,0.00004408745,0.00004871903,0.00001409044,0.000007985478,0.9984798,0.00005253736,0.001162591],"genre_scores_gemma":[0.00054405,0.000130294,0.0001363002,0.00003439486,0.00001111706,0.00009234147,0.9964957,0.00003448173,0.002521358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1389677,"threshold_uncertainty_score":0.2763176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574616507471369,"score_gpt":0.1766220010177003,"score_spread":0.1608758359429866,"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."}}