{"id":"W7131270144","doi":"10.25549/wpacards-ouc11572769","title":"WPA household census for 7011 CHANSLOR 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; American Community Survey; Administration (probate law); 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":[0.0006686192,0.001224535,0.001065461,0.003096239,0.0005751416,0.001909784,0.001370068,0.000520827,0.0730338],"category_scores_gemma":[0.004164883,0.0005737908,0.000536828,0.008477235,0.000186426,0.001215625,0.0009279263,0.001444876,0.0869702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857761,"about_ca_system_score_gemma":0.003581381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.133067,"about_ca_topic_score_gemma":0.1497006,"domain_scores_codex":[0.9992189,0.0001015773,0.0001022936,0.0002305261,0.0002538023,0.00009279308],"domain_scores_gemma":[0.9976231,0.0002768673,0.0002324596,0.0002499962,0.001456362,0.0001611758],"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":[0.00000676127,0.000005380754,0.0007543856,0.00009500865,0.000006949334,0.000006222574,0.000009946368,0.00004599132,0.00000699268,0.0002107077,0.997376,0.001475658],"study_design_scores_gemma":[0.00006804405,0.000006879064,0.01520856,0.0003014641,0.00001972471,0.0000293827,0.0001629158,0.0002409067,0.00006827682,0.0004959602,0.9833806,0.00001722508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001230781,0.00005286424,0.00004384448,0.00004902609,0.00001427315,0.000007984931,0.9985179,0.0000479957,0.001143099],"genre_scores_gemma":[0.0005387276,0.0001306588,0.0001424941,0.00003704804,0.00001093277,0.00009090912,0.9965866,0.00003468376,0.002428061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.133067,"threshold_uncertainty_score":0.264585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626322373432548,"score_gpt":0.1744370264510914,"score_spread":0.1581738027167659,"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."}}