{"id":"W7131314571","doi":"10.25549/wpacards-ouc11583056","title":"WPA household census for 12532 WALDORF ST, 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":[0.0006458699,0.001148261,0.001013863,0.003319242,0.0005388891,0.001779904,0.001280727,0.0004895063,0.09806275],"category_scores_gemma":[0.004030803,0.0005462809,0.0005043484,0.009141034,0.0001706266,0.001175432,0.0008916567,0.001322011,0.09747303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812717,"about_ca_system_score_gemma":0.003581134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1267906,"about_ca_topic_score_gemma":0.138665,"domain_scores_codex":[0.9992065,0.0001072266,0.0001101865,0.0002179584,0.0002595786,0.00009859598],"domain_scores_gemma":[0.9978564,0.0002477287,0.0002226218,0.0002147149,0.001320636,0.0001379622],"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":[0.000007054707,0.000005166968,0.0007073206,0.0001151057,0.000006925518,0.000006621282,0.00001200523,0.00004726255,0.000007596067,0.0002763243,0.9969995,0.001809118],"study_design_scores_gemma":[0.00004966079,0.000006043717,0.01297521,0.0002843858,0.00001670625,0.00002533705,0.0001548571,0.0001812429,0.00005254021,0.0004736675,0.9857663,0.00001400576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001288736,0.00006443013,0.0000514293,0.00005327587,0.00001649039,0.00001023844,0.9979174,0.00004916881,0.001708804],"genre_scores_gemma":[0.0006387616,0.0001791586,0.0001695873,0.00004400118,0.00001377028,0.0001182368,0.9949363,0.00004318833,0.003856872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1267906,"threshold_uncertainty_score":0.3280526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467675406711218,"score_gpt":0.1752141225916314,"score_spread":0.1605373685245192,"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."}}