{"id":"W7131256249","doi":"10.25549/wpacards-c8-157888","title":"WPA household census for 149 SOUTH DITMAN STREET, 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":[0.0006580518,0.00117076,0.001047003,0.00313148,0.0005740517,0.001860098,0.00138058,0.0005041872,0.0785254],"category_scores_gemma":[0.003972796,0.0005831323,0.0005127494,0.009247047,0.0001835551,0.001225345,0.0009218064,0.001427589,0.08508552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810912,"about_ca_system_score_gemma":0.003608549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280551,"about_ca_topic_score_gemma":0.1410755,"domain_scores_codex":[0.9992384,0.00009743042,0.0001085852,0.0002121606,0.0002487911,0.00009454681],"domain_scores_gemma":[0.9977611,0.0002583926,0.0002348222,0.0002362577,0.001353425,0.0001559251],"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":[0.000007114115,0.000005586639,0.000728426,0.0001120103,0.000007139453,0.000006868172,0.00001233554,0.00004655894,0.000008104717,0.0002475434,0.9972973,0.001520963],"study_design_scores_gemma":[0.00006245434,0.000007016217,0.01651235,0.0003060158,0.00001890545,0.00002919704,0.0001745114,0.0001951562,0.00006458519,0.0005060972,0.9821075,0.00001620938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001215819,0.0000497277,0.00004026216,0.0000441224,0.00001451057,0.000009105781,0.9984169,0.00004157157,0.001262309],"genre_scores_gemma":[0.0005493425,0.000142279,0.0001531012,0.00003812432,0.00001156565,0.0001048711,0.9963169,0.00003648449,0.002647287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1280551,"threshold_uncertainty_score":0.2626936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519373245888953,"score_gpt":0.1748746693458557,"score_spread":0.1596809368869662,"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."}}