{"id":"W7131309228","doi":"10.25549/wpacards-c8-160134","title":"WPA household census for 12706 WALDORF ST, 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; Administration (probate law); American Community Survey; 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":[0.0006657245,0.001177576,0.001032205,0.003350818,0.0005467249,0.00183759,0.001308657,0.0005025942,0.09524114],"category_scores_gemma":[0.004070387,0.0005648898,0.0005067146,0.009425852,0.0001742007,0.001205134,0.0009329546,0.001340728,0.09832266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777918,"about_ca_system_score_gemma":0.003601077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1223152,"about_ca_topic_score_gemma":0.1354118,"domain_scores_codex":[0.9991795,0.0001128644,0.0001121757,0.0002223053,0.0002689292,0.0001041438],"domain_scores_gemma":[0.9977672,0.0002631555,0.0002322011,0.0002334423,0.001355929,0.000148024],"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":[0.000007288659,0.000005163103,0.0006894613,0.0001124434,0.00000706464,0.000006294354,0.00001193963,0.0000471346,0.000007636511,0.0002730457,0.9971339,0.001698716],"study_design_scores_gemma":[0.00005056442,0.000006097369,0.0128752,0.0002829384,0.00001659271,0.00002491082,0.0001542832,0.0001817777,0.00005575996,0.0004723215,0.9858655,0.00001403735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001220785,0.00005571838,0.00004678108,0.00004772923,0.00001541012,0.000009040876,0.9981287,0.00004619163,0.001528318],"genre_scores_gemma":[0.0005619585,0.0001515103,0.0001512282,0.00003805351,0.00001243426,0.0001039299,0.9956135,0.00003975112,0.003327657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1223152,"threshold_uncertainty_score":0.3186133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430593409513256,"score_gpt":0.1748269488950576,"score_spread":0.1605210147999251,"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."}}