{"id":"W7131304862","doi":"10.25549/wpacards-ouc11548973","title":"WPA household census for 6550 AJAX 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); Mile","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":[0.0006676128,0.001220615,0.001089527,0.003255113,0.0005861821,0.001937166,0.001380175,0.000539557,0.0900601],"category_scores_gemma":[0.004398682,0.0005994756,0.0005479011,0.009336015,0.0001834747,0.001356995,0.0009535712,0.001497882,0.1012587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001820571,"about_ca_system_score_gemma":0.003540262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1189512,"about_ca_topic_score_gemma":0.1236854,"domain_scores_codex":[0.9991791,0.000103589,0.0001156988,0.0002349196,0.0002676886,0.00009913691],"domain_scores_gemma":[0.9975102,0.0002875845,0.0002478694,0.0002599272,0.001532857,0.000161615],"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":[0.000006395484,0.000005007331,0.000639033,0.0001051909,0.00000664376,0.000006118978,0.00001018297,0.00004028213,0.000006801208,0.0002206004,0.9974499,0.001503708],"study_design_scores_gemma":[0.00005669934,0.000006369029,0.01343296,0.0003008221,0.00001816473,0.00002835555,0.0001586537,0.0001792345,0.00005582019,0.0004655775,0.9852819,0.00001543236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001094553,0.00005683675,0.0000418111,0.00005107695,0.00001692361,0.000009163325,0.9982899,0.00004743578,0.001377446],"genre_scores_gemma":[0.0005589236,0.0001610455,0.0001511547,0.00004529619,0.00001355086,0.0001092707,0.9958111,0.00004062222,0.003109125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1189512,"threshold_uncertainty_score":0.301281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143385501012293,"score_gpt":0.1743404491039608,"score_spread":0.1600018990027315,"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."}}