{"id":"W7131302691","doi":"10.25549/wpacards-c8-128256","title":"WPA household census for 3752 VETERAN 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; Administration (probate law); American Community Survey","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":[0.0006901638,0.001218189,0.001084715,0.003016789,0.0005920973,0.001901227,0.001417687,0.0005421467,0.09456836],"category_scores_gemma":[0.004444251,0.0006107288,0.0005470348,0.00865586,0.0001792146,0.001304052,0.0009681055,0.001461405,0.1045244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876411,"about_ca_system_score_gemma":0.003671258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280054,"about_ca_topic_score_gemma":0.131846,"domain_scores_codex":[0.9991978,0.0001043587,0.0001129177,0.0002314902,0.0002520285,0.0001013847],"domain_scores_gemma":[0.9976155,0.000273415,0.0002362239,0.0002509682,0.001460104,0.0001638296],"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":[0.000006714776,0.000005245936,0.0006517379,0.00009640002,0.000006499798,0.000005787819,0.000009337517,0.0000396073,0.000006540326,0.0002030856,0.9975706,0.001398416],"study_design_scores_gemma":[0.00006293975,0.000006832296,0.01325595,0.0002983693,0.00001855178,0.0000264026,0.0001539491,0.0001927969,0.00005931002,0.0004711255,0.9854382,0.00001544685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001022332,0.00004927054,0.00003915168,0.00004781134,0.00001562633,0.000008277505,0.9984945,0.00004340458,0.001199708],"genre_scores_gemma":[0.0005407945,0.0001328986,0.0001432695,0.00004231231,0.00001281835,0.00009918689,0.996172,0.00003758945,0.00281917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1280054,"threshold_uncertainty_score":0.3163627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573084890543932,"score_gpt":0.1775786893478059,"score_spread":0.1618478404423666,"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."}}