{"id":"W7131284908","doi":"10.25549/wpacards-c8-164970","title":"WPA household census for 4806 ASTOR 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); Variety (cybernetics)","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":[0.0006755904,0.001188625,0.001055709,0.003128802,0.0005818806,0.001873911,0.001373619,0.0005367568,0.0826019],"category_scores_gemma":[0.004319482,0.0006011316,0.0005302239,0.008936469,0.0001848038,0.001287818,0.0009589056,0.00149586,0.09577446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821445,"about_ca_system_score_gemma":0.003557987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124441,"about_ca_topic_score_gemma":0.1307316,"domain_scores_codex":[0.9991941,0.000101309,0.0001076217,0.0002326208,0.000264508,0.00009980644],"domain_scores_gemma":[0.9975471,0.0002744621,0.000237884,0.0002542942,0.001527056,0.0001592671],"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":[0.000006676738,0.000005158375,0.0006617162,0.00009599701,0.000006470798,0.00000586717,0.000009976129,0.00003998478,0.000006806828,0.0002170967,0.9974766,0.001467547],"study_design_scores_gemma":[0.00006035939,0.000006713254,0.0144365,0.000283298,0.00001846487,0.00002757812,0.0001617527,0.0001880953,0.00006274007,0.0004595909,0.9842794,0.00001550566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001178674,0.00005421695,0.00004273619,0.00005299795,0.00001565465,0.000008758411,0.9983149,0.00004744625,0.001345461],"genre_scores_gemma":[0.0005766377,0.0001485658,0.0001514541,0.00004225933,0.0000129724,0.0001034959,0.9959375,0.00003856588,0.002988474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.124441,"threshold_uncertainty_score":0.2763309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381138169074295,"score_gpt":0.1728357554923092,"score_spread":0.1590243738015663,"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."}}