{"id":"W7131222374","doi":"10.25549/wpacards-c8-160158","title":"WPA household census for 12606 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":[0.0006527002,0.00118782,0.001033831,0.003352242,0.0005508609,0.001834346,0.00130966,0.0005018454,0.09421434],"category_scores_gemma":[0.004016934,0.0005697113,0.000513244,0.009461408,0.0001747147,0.001199518,0.0009218539,0.001349418,0.09740564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777542,"about_ca_system_score_gemma":0.00358993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1261557,"about_ca_topic_score_gemma":0.1397229,"domain_scores_codex":[0.9991881,0.0001094623,0.0001115828,0.0002217146,0.0002668056,0.0001022544],"domain_scores_gemma":[0.9977864,0.00025534,0.0002340721,0.0002308992,0.001347605,0.0001455969],"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":[0.000007297113,0.000005151965,0.0007130606,0.0001139126,0.000007272443,0.000006386733,0.00001203614,0.00004744654,0.000007765099,0.0002689588,0.9971154,0.001695291],"study_design_scores_gemma":[0.00005108136,0.000006142694,0.01357336,0.0002800848,0.00001716321,0.00002533507,0.0001541496,0.0001841694,0.00005615816,0.0004682392,0.9851697,0.0000143593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001237087,0.00005633712,0.00004614756,0.00004777122,0.00001516283,0.000009065518,0.9981402,0.00004592554,0.001515627],"genre_scores_gemma":[0.0005657024,0.0001529186,0.0001514546,0.00003790463,0.00001249099,0.0001032247,0.9956046,0.00003934683,0.003332333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1261557,"threshold_uncertainty_score":0.3151783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430593409513256,"score_gpt":0.1748269488950576,"score_spread":0.1605210147999251,"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."}}