{"id":"W7131224254","doi":"10.25549/wpacards-c8-164799","title":"WPA household census for 4336 E WASHINGTON BLVD, 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); American Community Survey; Data collection; 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":[0.0006496939,0.00125678,0.001079301,0.002929613,0.000559,0.001899363,0.001337351,0.0005456034,0.08271424],"category_scores_gemma":[0.004131095,0.000572225,0.0005238199,0.008369171,0.0001872948,0.001279603,0.0009059,0.001476535,0.1038388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166827,"about_ca_system_score_gemma":0.003165514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1003536,"about_ca_topic_score_gemma":0.1137127,"domain_scores_codex":[0.9992125,0.0001010029,0.0001065668,0.0002384373,0.0002534603,0.00008797136],"domain_scores_gemma":[0.9977939,0.0002744463,0.000225182,0.0002530317,0.001303943,0.0001495794],"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":[0.00000651034,0.000005071051,0.0006240555,0.00009030437,0.000005941508,0.000005662164,0.000007896128,0.00004096202,0.000006751842,0.0002038566,0.9976109,0.001392281],"study_design_scores_gemma":[0.00006110143,0.000006189852,0.01116329,0.000274142,0.00001682586,0.00002650942,0.0001309369,0.0002000833,0.00006285886,0.0005080521,0.9875358,0.00001429551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001076776,0.00005190619,0.00004519211,0.00005268841,0.00001680773,0.000008102948,0.9983032,0.00004958741,0.001364828],"genre_scores_gemma":[0.0005070926,0.0001425454,0.0001474286,0.00004209332,0.0000133202,0.00008782576,0.9962649,0.00003666326,0.00275822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1003536,"threshold_uncertainty_score":0.2767066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401257334357085,"score_gpt":0.1756720166372179,"score_spread":0.1616594432936471,"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."}}