{"id":"W7131282018","doi":"10.25549/wpacards-c8-135523","title":"WPA household census for 13606 LARGO 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":[0.0006886208,0.001209144,0.001049024,0.003187119,0.0005818024,0.001899487,0.001383492,0.000545366,0.07928976],"category_scores_gemma":[0.004190782,0.0006176911,0.0005426128,0.009105399,0.0001851548,0.00127934,0.000970305,0.001469601,0.09034877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788839,"about_ca_system_score_gemma":0.003421024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.121796,"about_ca_topic_score_gemma":0.1330305,"domain_scores_codex":[0.9991924,0.0001058955,0.000109856,0.0002311435,0.0002581084,0.0001026564],"domain_scores_gemma":[0.9975981,0.0002869033,0.0002470756,0.0002614942,0.001447302,0.0001590235],"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":[0.000007300512,0.000005394366,0.0007035688,0.0001030968,0.000007047761,0.000006253518,0.00001096725,0.00004578735,0.000007705276,0.000227291,0.9974476,0.001428112],"study_design_scores_gemma":[0.0000640699,0.000006689148,0.01468883,0.0002769995,0.00001864107,0.00002810283,0.0001677451,0.0002050342,0.000067468,0.000471632,0.9839886,0.00001618685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001149687,0.00004614315,0.00004065406,0.0000449778,0.00001396824,0.000007805088,0.9985722,0.00004441468,0.001114796],"genre_scores_gemma":[0.0005183403,0.0001192126,0.0001426403,0.00003489784,0.00001054536,0.00009165956,0.9966324,0.00003418039,0.002416125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.121796,"threshold_uncertainty_score":0.2652507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361409407243302,"score_gpt":0.1745240142265387,"score_spread":0.1609099201541057,"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."}}