{"id":"W7131314189","doi":"10.25549/wpacards-c8-131248","title":"WPA household census for 257 WEST WASHINGTON BLVD, 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":[0.0006871026,0.001237423,0.001107076,0.003099056,0.0005902551,0.001971845,0.001392407,0.0005207728,0.09043486],"category_scores_gemma":[0.004269116,0.0006277152,0.0005226763,0.009289566,0.0001865661,0.001324946,0.0009141153,0.001539511,0.1020778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803274,"about_ca_system_score_gemma":0.003671251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1133987,"about_ca_topic_score_gemma":0.1169661,"domain_scores_codex":[0.9991702,0.0001063277,0.0001203767,0.0002400402,0.0002671468,0.00009589736],"domain_scores_gemma":[0.997654,0.0002826304,0.0002332559,0.0002424161,0.001435802,0.0001518449],"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":[0.00000659786,0.000005353898,0.000629905,0.0001048652,0.000006553543,0.00000627946,0.000009734188,0.00004057401,0.000006683584,0.0002400995,0.9973829,0.001560385],"study_design_scores_gemma":[0.0000594771,0.000006366832,0.01239829,0.0003180856,0.00001816918,0.00002662897,0.0001543837,0.0001697374,0.00005589313,0.000517604,0.9862607,0.00001469652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001100325,0.00006082003,0.00004664381,0.00005544919,0.00001883626,0.00001096756,0.9980028,0.00004679641,0.001647559],"genre_scores_gemma":[0.000591036,0.0001957528,0.0001674188,0.00004997286,0.00001624698,0.000128635,0.9952727,0.00004416739,0.003534059],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1133987,"threshold_uncertainty_score":0.3025347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377433545785864,"score_gpt":0.1753558566294421,"score_spread":0.1615815211715835,"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."}}