{"id":"W7131257315","doi":"10.25549/wpacards-c8-156106","title":"WPA household census for 676 1/2 S MCDONNELL 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":[0.0007227751,0.001227817,0.001085805,0.003406032,0.0005964794,0.001904474,0.001462928,0.0005362544,0.0902251],"category_scores_gemma":[0.004487017,0.0006606933,0.0005455205,0.009992929,0.000184458,0.001244549,0.0009625335,0.001481996,0.09631535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182263,"about_ca_system_score_gemma":0.004168181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1501744,"about_ca_topic_score_gemma":0.1631122,"domain_scores_codex":[0.999105,0.0001050892,0.0001132236,0.0002454505,0.0003195419,0.0001115979],"domain_scores_gemma":[0.9973822,0.0003093757,0.0002513212,0.0002790081,0.001599517,0.0001784917],"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":[0.000006147824,0.000005162803,0.0005920772,0.0001067457,0.000005844282,0.000005389348,0.00001113448,0.0000395971,0.000007834616,0.0002360203,0.9973925,0.001591438],"study_design_scores_gemma":[0.0000518355,0.000005851186,0.01392081,0.0003068071,0.00001604157,0.00002196189,0.0001516563,0.0001758228,0.00006456004,0.0003909107,0.9848798,0.00001398643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000110758,0.00005045483,0.00004487935,0.00004677104,0.00001377418,0.000009603255,0.9981803,0.00004612851,0.001497501],"genre_scores_gemma":[0.0005563073,0.0001514514,0.0001913736,0.00004374552,0.00001158783,0.0001151128,0.9953621,0.00004582139,0.003522509],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1501744,"threshold_uncertainty_score":0.301833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467015667070667,"score_gpt":0.171611099497698,"score_spread":0.1569409428269913,"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."}}