{"id":"W7131218679","doi":"10.25549/wpacards-c8-151269","title":"WPA household census for 6631 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":[0.000654288,0.001205596,0.001035733,0.003060328,0.0005688564,0.001869427,0.001330713,0.0005150578,0.076244],"category_scores_gemma":[0.004101429,0.0005737809,0.0005319676,0.008439858,0.0001814088,0.001218447,0.000917046,0.001423932,0.0899459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777771,"about_ca_system_score_gemma":0.003500374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1278508,"about_ca_topic_score_gemma":0.1443092,"domain_scores_codex":[0.9992343,0.00009897329,0.0001011991,0.0002251873,0.0002502963,0.00009006655],"domain_scores_gemma":[0.9976864,0.0002658001,0.0002306463,0.0002466106,0.001413506,0.0001570548],"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":[0.00000688554,0.000005386687,0.0007636783,0.00009575496,0.000006793493,0.000006281216,0.00001036624,0.00004536017,0.000006955949,0.0002060715,0.9973109,0.001535625],"study_design_scores_gemma":[0.00006505442,0.000006732549,0.01503875,0.0002974763,0.00001898247,0.00002874052,0.0001641113,0.0002242109,0.00006451722,0.0004784752,0.9835967,0.00001607942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001257345,0.00005281581,0.00004364856,0.00005019388,0.00001442398,0.000008038169,0.9984722,0.00004670604,0.00118631],"genre_scores_gemma":[0.0005634815,0.0001369862,0.0001427591,0.000037742,0.00001138875,0.00009502555,0.9962774,0.00003523754,0.002699982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1278508,"threshold_uncertainty_score":0.2550616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555668851533235,"score_gpt":0.1752948315870243,"score_spread":0.159738143071692,"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."}}