{"id":"W7131274652","doi":"10.25549/wpacards-c8-159684","title":"WPA household census for 12330 CARESS 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; 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":[0.0006628017,0.001196309,0.00104152,0.003484476,0.0005861544,0.001849564,0.001337868,0.0005103564,0.08129246],"category_scores_gemma":[0.004168274,0.0005761994,0.0005171928,0.009886103,0.0001751864,0.00111911,0.0008823028,0.001341934,0.08222283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018587,"about_ca_system_score_gemma":0.003922788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1623766,"about_ca_topic_score_gemma":0.1777604,"domain_scores_codex":[0.9991713,0.0001055202,0.0001123977,0.0002220308,0.0002890952,0.00009969933],"domain_scores_gemma":[0.997554,0.000251316,0.0002357827,0.0002364645,0.001569144,0.0001532477],"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":[0.000006591659,0.000005127757,0.0007269912,0.0001020062,0.000007252416,0.000006515436,0.00001148255,0.00004435785,0.00000689034,0.0002215867,0.9972698,0.001591357],"study_design_scores_gemma":[0.00005819684,0.000006257555,0.01620024,0.0002917679,0.00001861854,0.00002716119,0.0001651445,0.0002034113,0.00006054804,0.00043822,0.9825146,0.00001590343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001286426,0.00005727645,0.00004338471,0.00004982462,0.00001491318,0.00001016654,0.9982022,0.00004449512,0.00144902],"genre_scores_gemma":[0.0005791267,0.0001548004,0.0001444283,0.00004012034,0.00001217537,0.000111662,0.995706,0.00003617861,0.003215445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1623766,"threshold_uncertainty_score":0.3228629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505476704343173,"score_gpt":0.1777916542660903,"score_spread":0.1627368872226586,"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."}}