{"id":"W7131230655","doi":"10.25549/wpacards-c8-162399","title":"WPA household census for 753 SOUTH FETTERLY 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; 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":[0.0006570629,0.001255531,0.001056572,0.003254365,0.0005867687,0.001950102,0.001381193,0.0005223378,0.07529391],"category_scores_gemma":[0.004174956,0.0005758988,0.0005542717,0.009242963,0.0001943172,0.001212015,0.0009279025,0.001444525,0.09390334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884122,"about_ca_system_score_gemma":0.003681063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1376954,"about_ca_topic_score_gemma":0.1531374,"domain_scores_codex":[0.9992042,0.00009766273,0.0001075537,0.0002356404,0.0002613042,0.00009364649],"domain_scores_gemma":[0.9977089,0.0002684202,0.0002282328,0.0002456917,0.001391833,0.0001569287],"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":[0.000006591788,0.00000548914,0.0007481252,0.0000965419,0.000006932064,0.000006415582,0.00001055853,0.00004490644,0.000007398169,0.0001921914,0.9974452,0.001429637],"study_design_scores_gemma":[0.00006239935,0.000006674383,0.01559065,0.0003001314,0.00001935222,0.00002984902,0.0001724045,0.0002197582,0.0000697307,0.0004757246,0.9830363,0.00001688272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000120326,0.00005015963,0.00003870672,0.00004321314,0.00001325186,0.000007383651,0.9985696,0.00004618261,0.001111249],"genre_scores_gemma":[0.0004993604,0.000124553,0.0001297632,0.00003241584,0.00001016686,0.00008149154,0.996838,0.0000331533,0.002251012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1376954,"threshold_uncertainty_score":0.2737879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389763644884472,"score_gpt":0.1705882580788204,"score_spread":0.1566906216299757,"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."}}