{"id":"W7131275307","doi":"10.25549/wpacards-c8-121532","title":"WPA household census for 1101 WESLEY TERRACE, Los Angeles","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; Administration (probate law); American Community Survey; Variety (cybernetics)","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":[0.0006569051,0.001337853,0.001161222,0.00364515,0.0006162138,0.002098384,0.001609752,0.0005063197,0.09808616],"category_scores_gemma":[0.00455858,0.0006604506,0.0005768349,0.01033313,0.0001903326,0.00138079,0.001033796,0.00153515,0.1021422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940853,"about_ca_system_score_gemma":0.003977671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1632549,"about_ca_topic_score_gemma":0.1789121,"domain_scores_codex":[0.9991216,0.0001159793,0.0001197346,0.0002425753,0.0002921603,0.0001080326],"domain_scores_gemma":[0.9975938,0.0002794055,0.0002470757,0.0002833485,0.001431199,0.0001650876],"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":[0.000006644655,0.000004861982,0.000612299,0.0001175179,0.000007174041,0.000006334234,0.00001200425,0.00004343094,0.000006636042,0.0002453475,0.9973294,0.001608428],"study_design_scores_gemma":[0.00004747923,0.000005618681,0.01206038,0.0002883109,0.00001569176,0.00002433625,0.0001608746,0.0001719224,0.00005358248,0.0004421189,0.9867139,0.00001568287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001203138,0.00006785139,0.00005219252,0.00004827411,0.00001569039,0.000009571158,0.9980571,0.0000615454,0.00156736],"genre_scores_gemma":[0.0005154266,0.0001671564,0.0001496649,0.00003460244,0.00001134789,0.000104135,0.995507,0.00004675249,0.003463922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1632549,"threshold_uncertainty_score":0.3281308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515351082143357,"score_gpt":0.1778208908172587,"score_spread":0.1626673799958252,"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."}}