{"id":"W7131280889","doi":"10.25549/wpacards-c8-139460","title":"WPA household census for 1553 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":[0.000685788,0.001277376,0.001113796,0.003285598,0.0005574437,0.001973251,0.001479243,0.0005110929,0.08538214],"category_scores_gemma":[0.004211007,0.0006439675,0.0005887507,0.008944081,0.0001907397,0.001247396,0.0009366245,0.001456337,0.09893698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157681,"about_ca_system_score_gemma":0.003626582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1481193,"about_ca_topic_score_gemma":0.1582958,"domain_scores_codex":[0.9991637,0.0001044441,0.0001150913,0.0002351514,0.0002811595,0.0001003604],"domain_scores_gemma":[0.9976618,0.0002743987,0.000252102,0.0002729156,0.00138286,0.0001558936],"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":[0.000006908006,0.000005967302,0.000732665,0.0001104804,0.00000709237,0.000006371988,0.00001144195,0.00004376195,0.000007308133,0.0002330513,0.9972146,0.001620462],"study_design_scores_gemma":[0.00006244336,0.000007323858,0.01656036,0.0003118098,0.00001988679,0.00002771558,0.0001714263,0.0002262154,0.00007359451,0.000444788,0.9820771,0.00001732474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001454252,0.00005709053,0.00005123387,0.00004823965,0.00001506995,0.000009874933,0.9980487,0.0000600422,0.00156426],"genre_scores_gemma":[0.0006222549,0.0001657357,0.0001718052,0.00003561403,0.00001244272,0.0001147451,0.9952719,0.0000442089,0.003561356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1481193,"threshold_uncertainty_score":0.2945144,"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."}}