{"id":"W6964467025","doi":"10.25549/wpacards-m91283","title":"WPA household census for 1651 W 52ND STREET, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Work (physics); Quarter (Canadian coin); Poverty","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":[0.000684685,0.001916673,0.001751646,0.00756773,0.0008193807,0.002392718,0.001829212,0.001091869,0.08884358],"category_scores_gemma":[0.005370092,0.001242425,0.0009257376,0.0220666,0.0002269624,0.001641749,0.001227531,0.00162257,0.0903025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002514459,"about_ca_system_score_gemma":0.005781523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2837187,"about_ca_topic_score_gemma":0.3253358,"domain_scores_codex":[0.9990594,0.00008378237,0.0001599845,0.0002245428,0.0003056205,0.0001667518],"domain_scores_gemma":[0.9964875,0.0004202981,0.0005012395,0.0003722825,0.001928623,0.0002901167],"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":[0.00001962365,0.00001327856,0.001266918,0.0002028777,0.00001535879,0.00001033675,0.00002307468,0.0001162754,0.00001370858,0.0001854758,0.9962958,0.00183736],"study_design_scores_gemma":[0.0001625996,0.00001532242,0.04522292,0.0004541781,0.00005222751,0.00004422881,0.0003113885,0.0004371735,0.0001942875,0.0005083334,0.9525533,0.00004410822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001317065,0.00002730506,0.00002610967,0.00002045649,0.000008390718,0.000007299952,0.9989999,0.00005178068,0.0007271219],"genre_scores_gemma":[0.0005200987,0.00009421457,0.0001117549,0.00002240406,0.000007533971,0.00009934021,0.9960073,0.00003805149,0.003099391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2837187,"threshold_uncertainty_score":0.5641346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621470122440239,"score_gpt":0.1779642321888976,"score_spread":0.1617495309644953,"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."}}