{"id":"W7131211133","doi":"10.25549/wpacards-c8-162084","title":"WPA household census for 664 SOUTH WOODS 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":[0.0006765398,0.001247787,0.001066516,0.003328557,0.0005843956,0.001861637,0.001400177,0.0005138098,0.08631714],"category_scores_gemma":[0.004346045,0.0006031478,0.000549441,0.009793522,0.0001870235,0.001291734,0.0009286604,0.001484643,0.1007487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771171,"about_ca_system_score_gemma":0.003615244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1226495,"about_ca_topic_score_gemma":0.1280516,"domain_scores_codex":[0.9991878,0.0001043559,0.0001162913,0.0002290481,0.0002646272,0.00009795569],"domain_scores_gemma":[0.9975874,0.0002778702,0.0002418995,0.0002460287,0.001492289,0.0001544471],"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":[0.000006794116,0.000005150896,0.000673363,0.0001097793,0.000006892688,0.000006620522,0.00001114043,0.00004271297,0.000007134548,0.0002186607,0.9974061,0.001505714],"study_design_scores_gemma":[0.00005840639,0.000006664289,0.0145751,0.0003099916,0.00001907244,0.00002982916,0.0001757848,0.0001805418,0.00005921424,0.0004791185,0.9840907,0.00001563286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001145777,0.00005520472,0.0000425112,0.00004712728,0.00001519355,0.000008663847,0.9983777,0.00004452634,0.001294499],"genre_scores_gemma":[0.0005510904,0.0001574469,0.0001453661,0.00003954486,0.00001266622,0.0001055536,0.9960396,0.00003869513,0.002910004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1226495,"threshold_uncertainty_score":0.2887596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523394423933377,"score_gpt":0.177009227655071,"score_spread":0.1617752834157372,"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."}}