{"id":"W7131252086","doi":"10.25549/wpacards-c8-153979","title":"WPA household census for 6128 ATLANTIC 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":[0.0006781643,0.001203417,0.001094901,0.00310536,0.0005929407,0.001947126,0.001406963,0.0005596517,0.09007666],"category_scores_gemma":[0.004352859,0.0006282769,0.0005522051,0.009011891,0.0001873723,0.001359141,0.0009723021,0.001493301,0.1027823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902862,"about_ca_system_score_gemma":0.003695118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.127737,"about_ca_topic_score_gemma":0.1335669,"domain_scores_codex":[0.9991605,0.0001068678,0.0001161999,0.0002378086,0.0002746032,0.00010406],"domain_scores_gemma":[0.9974856,0.0002850276,0.0002445724,0.0002510657,0.001569221,0.0001644372],"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":[0.000006518936,0.000005072896,0.0006161783,0.0001002671,0.000006269761,0.000005776426,0.000009949275,0.00004012939,0.000006729295,0.0002262629,0.9975086,0.001468118],"study_design_scores_gemma":[0.00006070456,0.000006348597,0.01348154,0.0002908926,0.00001732915,0.000026273,0.000159038,0.0001848541,0.00005846129,0.0004654866,0.9852337,0.0000153737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001093876,0.00005442097,0.00004317025,0.00005542202,0.000016874,0.000009806826,0.9981971,0.00004571539,0.001468051],"genre_scores_gemma":[0.0005595865,0.0001551751,0.0001571108,0.00004696543,0.00001380511,0.0001151611,0.9955866,0.00004090381,0.003324639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.127737,"threshold_uncertainty_score":0.3013364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379363587441182,"score_gpt":0.1733293474903135,"score_spread":0.1595357116159017,"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."}}