{"id":"W7131239231","doi":"10.25549/wpacards-c8-161952","title":"WPA household census for 635 SOUTH FRASER 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":[0.0006897058,0.001211753,0.00106601,0.003146951,0.0005727562,0.001862774,0.001385926,0.0005373867,0.07345995],"category_scores_gemma":[0.004467799,0.0005635152,0.0005477241,0.008865639,0.0001888371,0.00123467,0.0009329644,0.001471255,0.0914226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179813,"about_ca_system_score_gemma":0.003385211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1219131,"about_ca_topic_score_gemma":0.1333604,"domain_scores_codex":[0.9992028,0.0001022603,0.0001092093,0.0002339312,0.0002611289,0.00009075105],"domain_scores_gemma":[0.9975619,0.0002958868,0.0002520713,0.0002589129,0.001469054,0.0001621103],"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":[0.00000682426,0.000005289406,0.0007294072,0.00009820325,0.000007085504,0.000006387755,0.000009717302,0.00004442251,0.000007112646,0.0001989928,0.9974689,0.001417549],"study_design_scores_gemma":[0.00006926652,0.000007092133,0.01544942,0.0003187472,0.00002064364,0.00003178377,0.0001647175,0.0002250476,0.0000682691,0.0005345519,0.983093,0.00001728507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001158637,0.00005097013,0.00004190206,0.00004704831,0.00001421199,0.000007479491,0.9986381,0.00004358056,0.001040824],"genre_scores_gemma":[0.0005066004,0.0001300108,0.0001335905,0.00003732965,0.00001134654,0.00008666246,0.9967981,0.00003264709,0.002263841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1219131,"threshold_uncertainty_score":0.245748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411557307709911,"score_gpt":0.1727024241055168,"score_spread":0.1585868510284177,"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."}}