{"id":"W7131229834","doi":"10.25549/wpacards-c8-142182","title":"WPA household census for 346 BONNIE BEACH PLACE, 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":[0.0005452436,0.00119383,0.0009109093,0.003278916,0.0005726713,0.00166634,0.001274463,0.0004825047,0.07091441],"category_scores_gemma":[0.003500432,0.0005318912,0.0004980789,0.009247789,0.0001749811,0.001035125,0.0008774441,0.001266367,0.08056838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694794,"about_ca_system_score_gemma":0.003150338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1379251,"about_ca_topic_score_gemma":0.1742808,"domain_scores_codex":[0.9993399,0.00008413213,0.00008656436,0.0001930281,0.0002161717,0.00008015076],"domain_scores_gemma":[0.9981607,0.0002100107,0.0001938045,0.0002002171,0.001102611,0.0001326964],"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":[0.000008045197,0.000005857936,0.0009659865,0.0001124153,0.000007882099,0.000007494673,0.00001308023,0.00005466244,0.000009477128,0.000196323,0.9970872,0.001531574],"study_design_scores_gemma":[0.00006125999,0.00000691371,0.01901707,0.0002961375,0.00001974484,0.00003178399,0.0002068298,0.0002196346,0.0000736397,0.0004348484,0.9796148,0.00001739095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001605073,0.0000498695,0.00003471013,0.00003923844,0.00001196968,0.000006854137,0.9986423,0.00003988065,0.001014691],"genre_scores_gemma":[0.0005567324,0.0001156973,0.0001135453,0.00002973948,0.000009083237,0.00008289115,0.9968136,0.00002838359,0.002250356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1379251,"threshold_uncertainty_score":0.2742445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340881017847064,"score_gpt":0.1752991706291596,"score_spread":0.161890360450689,"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."}}