{"id":"W7131262938","doi":"10.25549/wpacards-ouc11587596","title":"WPA household census for 730 SOUTH FETTERLY 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; 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":[0.0006597825,0.001232988,0.001053379,0.00327421,0.0005981443,0.001958734,0.001400408,0.0005185849,0.07419874],"category_scores_gemma":[0.004175343,0.000572552,0.0005359023,0.009303198,0.0001990345,0.001218916,0.0009203347,0.00146759,0.09300496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890445,"about_ca_system_score_gemma":0.003680257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1388695,"about_ca_topic_score_gemma":0.1556823,"domain_scores_codex":[0.9992125,0.00009778255,0.0001042222,0.0002328759,0.0002587837,0.00009375637],"domain_scores_gemma":[0.9976785,0.0002709349,0.0002265094,0.0002448823,0.001421266,0.0001579174],"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":[0.000006502544,0.000005476558,0.0007207909,0.00009302139,0.000006718484,0.000006259736,0.00001023446,0.00004377828,0.000007201649,0.0001912817,0.9975201,0.001388638],"study_design_scores_gemma":[0.00006332957,0.000006600074,0.01515207,0.0002889988,0.00001892193,0.00002912048,0.0001704794,0.000216043,0.00007063396,0.0004771647,0.9834896,0.00001697742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001164,0.00004656188,0.00003921188,0.00004210573,0.0000130786,0.000007289904,0.9986081,0.00004609655,0.001081255],"genre_scores_gemma":[0.0004864831,0.0001185804,0.0001337741,0.00003187724,0.00001005297,0.00008153758,0.9968611,0.00003373023,0.002242852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1388695,"threshold_uncertainty_score":0.2761225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402457053382778,"score_gpt":0.1709383237606623,"score_spread":0.1569137532268345,"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."}}