{"id":"W7131212951","doi":"10.25549/wpacards-ouc11572855","title":"WPA household census for 7032 CHANSLOR 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":[0.0006763438,0.001221327,0.001058779,0.003085865,0.0005698916,0.001894485,0.001351991,0.0005220369,0.07704987],"category_scores_gemma":[0.004239974,0.0005700556,0.0005388377,0.008400461,0.0001851955,0.001233888,0.0009247243,0.001451595,0.08911546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854183,"about_ca_system_score_gemma":0.003600223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1287599,"about_ca_topic_score_gemma":0.1436062,"domain_scores_codex":[0.9992126,0.0001033088,0.000104157,0.0002316376,0.0002560449,0.00009217932],"domain_scores_gemma":[0.9976327,0.0002777734,0.0002304418,0.0002486699,0.001452179,0.0001581592],"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":[0.00000666107,0.000005228992,0.0007177482,0.00009591114,0.000006782234,0.000006049988,0.000009752697,0.00004481862,0.000006858871,0.0002128929,0.9973991,0.001488095],"study_design_scores_gemma":[0.00006478567,0.000006527147,0.01396693,0.0002981994,0.0000187763,0.00002792569,0.0001562721,0.0002253157,0.00006344917,0.0004916815,0.9846639,0.00001631497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001175267,0.00005393228,0.0000439316,0.00005058537,0.00001466182,0.000008232154,0.9984757,0.00004754834,0.001187769],"genre_scores_gemma":[0.0005481807,0.0001380514,0.000148982,0.00003937892,0.0000115362,0.00009673979,0.9963967,0.00003630674,0.002584142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287599,"threshold_uncertainty_score":0.2577575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576975626509262,"score_gpt":0.1755796051341741,"score_spread":0.1598098488690815,"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."}}