{"id":"W7131225368","doi":"10.25549/wpacards-c8-139481","title":"WPA household census for 1552 1/2 ARMACOST 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":[0.0006799793,0.00128372,0.001101697,0.003258091,0.0005574803,0.001975678,0.001472735,0.000514646,0.0857292],"category_scores_gemma":[0.00416325,0.0006441535,0.000585425,0.008771912,0.0001885041,0.001249309,0.0009305089,0.001456437,0.09918809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134526,"about_ca_system_score_gemma":0.003547462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1447375,"about_ca_topic_score_gemma":0.1572776,"domain_scores_codex":[0.9991646,0.0001047408,0.0001135208,0.0002363941,0.0002814978,0.00009930088],"domain_scores_gemma":[0.9976894,0.0002727009,0.0002456925,0.0002736153,0.001364074,0.0001545773],"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":[0.000006783788,0.000005985645,0.0007175092,0.0001087774,0.000006962314,0.000006369492,0.00001126299,0.00004307569,0.000007339069,0.0002283085,0.9972434,0.001614133],"study_design_scores_gemma":[0.0000607622,0.000007190324,0.01603987,0.0003005164,0.00001905754,0.00002715718,0.0001678439,0.0002208066,0.00007206742,0.000422565,0.982645,0.00001693765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001471193,0.00005778772,0.00005190135,0.00004946193,0.00001551124,0.000009952332,0.9980093,0.00006127517,0.001597754],"genre_scores_gemma":[0.0006240085,0.0001625396,0.0001725839,0.00003602068,0.00001261315,0.0001154311,0.9951807,0.00004444305,0.003651688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1447375,"threshold_uncertainty_score":0.2877901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564085760878144,"score_gpt":0.1826762258449696,"score_spread":0.1670353682361882,"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."}}