{"id":"W7131317878","doi":"10.25549/wpacards-ouc11572391","title":"WPA household census for 5715 SLAUSON 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; 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":[0.0006437326,0.001196388,0.001059493,0.003152278,0.00057248,0.001872948,0.001342387,0.0005292809,0.08442454],"category_scores_gemma":[0.00417275,0.0006115565,0.0005200008,0.00914351,0.0001841378,0.001262712,0.0009556022,0.001430572,0.097578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819552,"about_ca_system_score_gemma":0.003565576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1234564,"about_ca_topic_score_gemma":0.1304137,"domain_scores_codex":[0.9991943,0.0001026013,0.0001075819,0.000235813,0.0002585353,0.0001012896],"domain_scores_gemma":[0.9976174,0.0002719175,0.0002369251,0.0002494894,0.001466488,0.0001578206],"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":[0.000006559125,0.00000507558,0.0006774514,0.00009832792,0.000006326344,0.000006051534,0.00001083428,0.00004161326,0.000007233764,0.0002230317,0.9974198,0.001497697],"study_design_scores_gemma":[0.00005954536,0.000006365476,0.01386109,0.0002873187,0.00001741444,0.00002712681,0.0001676415,0.0001928701,0.00006308935,0.0004670116,0.9848355,0.00001496581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001229443,0.00005243561,0.0000426599,0.0000495467,0.00001498591,0.000008875392,0.9983182,0.00004777341,0.001342643],"genre_scores_gemma":[0.0005717268,0.0001395692,0.0001440449,0.00004024367,0.00001176909,0.0001040795,0.9960227,0.00003796263,0.002927825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1234564,"threshold_uncertainty_score":0.2824282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147202077136056,"score_gpt":0.17662339135613,"score_spread":0.1619031836425244,"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."}}