{"id":"W7131229468","doi":"10.25549/wpacards-c8-131345","title":"WPA household census for 243 1/2 WEST 51ST STREET, 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":[0.0006968931,0.00125617,0.001111076,0.003157206,0.0006166015,0.002089305,0.001450769,0.0005495769,0.0897421],"category_scores_gemma":[0.004292832,0.0006264843,0.0005785233,0.009379701,0.0001943358,0.00123028,0.0009151284,0.001511613,0.1022817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040987,"about_ca_system_score_gemma":0.003904115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1324921,"about_ca_topic_score_gemma":0.1482036,"domain_scores_codex":[0.999151,0.0001074496,0.0001149872,0.0002383958,0.0002895004,0.00009862115],"domain_scores_gemma":[0.9975594,0.0002922727,0.000241299,0.0002753033,0.001462777,0.0001689088],"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":[0.000006506758,0.000005763558,0.0006298815,0.0001017784,0.00000603242,0.000005742894,0.00001071901,0.00004247822,0.000007332927,0.0002014652,0.9975271,0.001455323],"study_design_scores_gemma":[0.00006163815,0.00000689263,0.01500482,0.0003155306,0.00001830418,0.00002594928,0.0001709552,0.0002094871,0.00007007804,0.0004541748,0.9836459,0.00001632103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001166308,0.00004875351,0.00004151899,0.00004579126,0.00001547488,0.000009947115,0.9982464,0.0000470326,0.001428508],"genre_scores_gemma":[0.0005456146,0.0001488643,0.0001614503,0.00003929257,0.00001259837,0.000115164,0.9957878,0.000043202,0.003146094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1324921,"threshold_uncertainty_score":0.3002172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499195148434471,"score_gpt":0.1757644233401008,"score_spread":0.160772471855756,"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."}}