{"id":"W7131266301","doi":"10.25549/wpacards-c8-156025","title":"WPA household census for 639 3/4 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":[0.0007030898,0.001257897,0.001104833,0.003422356,0.0006177945,0.001974502,0.001487733,0.000537788,0.09007175],"category_scores_gemma":[0.004395785,0.0006488808,0.000559094,0.01035804,0.0001891927,0.001222769,0.0009778184,0.001469244,0.09863167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115502,"about_ca_system_score_gemma":0.004033148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1554243,"about_ca_topic_score_gemma":0.1659649,"domain_scores_codex":[0.9991022,0.0001044946,0.0001177326,0.0002485258,0.0003172609,0.0001097104],"domain_scores_gemma":[0.9974908,0.000287181,0.0002495724,0.0002630134,0.001539161,0.000170327],"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":[0.000006478617,0.000005186715,0.0006387933,0.0001092261,0.000006377263,0.000005818959,0.00001108296,0.00004158387,0.000008094133,0.0002199631,0.9974445,0.001503038],"study_design_scores_gemma":[0.00005885848,0.000006071101,0.01469666,0.0003077603,0.00001768775,0.00002355776,0.0001604774,0.0001943954,0.0000694541,0.0004279678,0.9840215,0.00001557815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001079376,0.0000451337,0.0000418636,0.00004085407,0.00001244282,0.000008640697,0.9983743,0.00004574427,0.001323093],"genre_scores_gemma":[0.0005274864,0.0001287013,0.0001681067,0.00003676822,0.00001033433,0.0001015585,0.9959378,0.00004133197,0.00304788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1554243,"threshold_uncertainty_score":0.3090394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469809002108393,"score_gpt":0.1717104563627127,"score_spread":0.1570123663416288,"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."}}