{"id":"W7131209922","doi":"10.25549/wpacards-c8-160170","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":[0.0006458702,0.001148261,0.001013863,0.003319243,0.0005388889,0.001779902,0.001280727,0.0004895056,0.09806279],"category_scores_gemma":[0.004030803,0.0005462806,0.0005043482,0.009141038,0.0001706264,0.001175431,0.0008916563,0.001322011,0.09747294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812719,"about_ca_system_score_gemma":0.003581139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1267907,"about_ca_topic_score_gemma":0.1386652,"domain_scores_codex":[0.9992065,0.0001072266,0.0001101865,0.0002179584,0.0002595786,0.00009859598],"domain_scores_gemma":[0.9978564,0.0002477285,0.0002226218,0.0002147149,0.001320638,0.0001379623],"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":[0.000007054707,0.000005166968,0.00070732,0.0001151057,0.000006925504,0.00000662127,0.00001200522,0.00004726247,0.000007596059,0.0002763243,0.9969995,0.001809117],"study_design_scores_gemma":[0.00004966069,0.000006043705,0.01297521,0.0002843855,0.00001670622,0.000025337,0.0001548569,0.0001812425,0.00005254021,0.0004736666,0.9857663,0.00001400574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001288738,0.00006443013,0.00005142935,0.00005327592,0.00001649039,0.00001023847,0.9979174,0.00004916886,0.001708805],"genre_scores_gemma":[0.000638761,0.0001791584,0.0001695872,0.0000440011,0.00001377025,0.0001182367,0.9949363,0.00004318829,0.003856872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1267907,"threshold_uncertainty_score":0.3280527,"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."}}