{"id":"W7131309870","doi":"10.25549/wpacards-ouc11584015","title":"WPA household census for 3213 SAN MARCUS ST, 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":[0.00062676,0.0011907,0.001008807,0.003181929,0.0005410544,0.001734298,0.001301217,0.0005109853,0.0711677],"category_scores_gemma":[0.004033412,0.0005479533,0.0005266804,0.008806042,0.0001745442,0.00106682,0.0008890557,0.001346052,0.08463629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713139,"about_ca_system_score_gemma":0.003299377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1269295,"about_ca_topic_score_gemma":0.1459514,"domain_scores_codex":[0.9992436,0.00009807091,0.0001022659,0.0002194133,0.0002494427,0.00008720595],"domain_scores_gemma":[0.9978784,0.0002543874,0.000229115,0.0002313715,0.001265257,0.0001415479],"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":[0.000007260184,0.00000533834,0.0008373217,0.0001020735,0.000007604894,0.000006640625,0.00001050834,0.00005168719,0.00000807344,0.0002025367,0.9972589,0.001502046],"study_design_scores_gemma":[0.00006375841,0.000006674962,0.01637313,0.0003007726,0.00002066309,0.00003004066,0.0001605464,0.0002410271,0.00006890937,0.0004899043,0.9822285,0.00001604347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001412346,0.00005714138,0.00004417186,0.00004822666,0.00001412032,0.000007477819,0.9985538,0.00004528086,0.001088528],"genre_scores_gemma":[0.0005523997,0.0001358208,0.0001290963,0.00003510965,0.00001118165,0.00008784684,0.9966056,0.00003317116,0.0024098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1269295,"threshold_uncertainty_score":0.2523814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415722111642919,"score_gpt":0.1753533623645759,"score_spread":0.1611961412481467,"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."}}