{"id":"W7131213186","doi":"10.25549/wpacards-c8-160185","title":"WPA household census for 12426 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":[0.0006688607,0.001203378,0.00102773,0.003404461,0.0005520363,0.001830308,0.001304942,0.0005033464,0.09904654],"category_scores_gemma":[0.004159014,0.0005522376,0.00050332,0.009440958,0.0001759704,0.001194273,0.0009122677,0.001334019,0.1020379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789852,"about_ca_system_score_gemma":0.003580241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1191411,"about_ca_topic_score_gemma":0.1313082,"domain_scores_codex":[0.9991678,0.0001123285,0.0001145289,0.0002288675,0.0002739551,0.0001024501],"domain_scores_gemma":[0.9977792,0.0002596373,0.0002356037,0.0002317186,0.001349598,0.0001442473],"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":[0.000007165277,0.000005201006,0.0006798985,0.0001107454,0.000006774238,0.000006391432,0.00001175071,0.00004577386,0.00000779478,0.0002698569,0.9971052,0.00174341],"study_design_scores_gemma":[0.0000482668,0.000005992445,0.01231907,0.0002762892,0.00001614329,0.00002475702,0.0001506635,0.0001762441,0.00005430878,0.000463146,0.9864514,0.00001375326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001252674,0.00005893835,0.00005039933,0.00005106315,0.00001602401,0.000009861373,0.9979421,0.0000483637,0.001697845],"genre_scores_gemma":[0.0005870241,0.0001590335,0.0001584408,0.00004101586,0.00001289247,0.0001110086,0.9951827,0.00004231918,0.003705496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1191411,"threshold_uncertainty_score":0.3313437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447594558967742,"score_gpt":0.1752476586959885,"score_spread":0.1607717131063111,"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."}}