{"id":"W7131298309","doi":"10.25549/wpacards-c8-134740","title":"WPA household census for 13211 WILLOWBROOK 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":[0.0007143932,0.001233698,0.001075294,0.003148367,0.0005764326,0.001937456,0.001358539,0.000519782,0.0800804],"category_scores_gemma":[0.004398661,0.0005618786,0.0005321428,0.008782217,0.0001840164,0.001247582,0.0009514286,0.001436515,0.09362488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837472,"about_ca_system_score_gemma":0.003534333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1172059,"about_ca_topic_score_gemma":0.1362251,"domain_scores_codex":[0.9991817,0.0001063838,0.00010824,0.0002382677,0.0002689246,0.00009636363],"domain_scores_gemma":[0.9975879,0.0003013824,0.0002470198,0.0002606229,0.001432557,0.0001705157],"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":[0.000006511914,0.000005162478,0.0007000184,0.00009416413,0.000006507153,0.000005839642,0.000009485248,0.00004215697,0.000006758372,0.0002111993,0.9974374,0.001474865],"study_design_scores_gemma":[0.00006217534,0.000006564435,0.01349168,0.0002865914,0.00001799795,0.00002743355,0.0001528767,0.0002110924,0.00006225265,0.0005045711,0.9851609,0.00001572247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001123655,0.00004994656,0.00004455033,0.00004928935,0.0000145793,0.000007665164,0.9985375,0.00004609233,0.001138092],"genre_scores_gemma":[0.0004729516,0.0001231697,0.0001385413,0.00003595385,0.00001097099,0.00008506879,0.9968256,0.00003326653,0.002274542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1172059,"threshold_uncertainty_score":0.2678956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300577890120742,"score_gpt":0.1720902323037191,"score_spread":0.1590844534025117,"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."}}