{"id":"W7131211374","doi":"10.25549/wpacards-ouc11554497","title":"WPA household census for 633 S FETERLEY 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":[0.0006937148,0.001279932,0.001121946,0.003452316,0.0005821458,0.002001103,0.00141446,0.0005367105,0.07754],"category_scores_gemma":[0.004421813,0.0005961788,0.000561012,0.009692715,0.0001975394,0.001269918,0.0009722234,0.001532743,0.09672365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001939801,"about_ca_system_score_gemma":0.003782655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1300407,"about_ca_topic_score_gemma":0.141934,"domain_scores_codex":[0.9991626,0.0001013485,0.0001140809,0.0002434715,0.0002822609,0.00009628783],"domain_scores_gemma":[0.9974775,0.0002982968,0.0002506256,0.0002745108,0.00152451,0.000174591],"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":[0.000006272997,0.000005353966,0.0006562416,0.00009452087,0.00000660669,0.000006101129,0.000009352303,0.00004310141,0.000007239964,0.0001994499,0.9975306,0.001435051],"study_design_scores_gemma":[0.00005865626,0.000006405461,0.01373417,0.0002942829,0.00001792399,0.00002823797,0.0001504932,0.0002133762,0.00006585285,0.0004926765,0.984922,0.00001601468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001095352,0.00005116419,0.00004305688,0.0000453073,0.00001402494,0.000007742116,0.9985083,0.00004971101,0.001171108],"genre_scores_gemma":[0.0004668079,0.0001300452,0.0001424803,0.00003345652,0.00001051408,0.00008102916,0.9967339,0.00003686519,0.002364999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1300407,"threshold_uncertainty_score":0.2593971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449532451419619,"score_gpt":0.174697434018882,"score_spread":0.1602021095046858,"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."}}