{"id":"W7131248829","doi":"10.25549/wpacards-c8-117719","title":"WPA household census for 6304 1/2 PALA 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; 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":[0.0006951281,0.001274295,0.001111936,0.003273172,0.0005956398,0.001986192,0.001401792,0.0005583128,0.08480573],"category_scores_gemma":[0.004326758,0.0006537663,0.0005915217,0.009991028,0.0001932452,0.001235693,0.0009432727,0.001466609,0.1072862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937733,"about_ca_system_score_gemma":0.003685103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1262019,"about_ca_topic_score_gemma":0.1383321,"domain_scores_codex":[0.9991238,0.0001109912,0.0001157972,0.0002478585,0.0002962635,0.0001053748],"domain_scores_gemma":[0.9975375,0.0002891465,0.0002525724,0.0002811501,0.00147495,0.0001647417],"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":[0.000006905673,0.000005829174,0.0006838472,0.00009601783,0.000006502672,0.000005660151,0.00001062219,0.00004382045,0.000007614185,0.0002052156,0.9974227,0.001505352],"study_design_scores_gemma":[0.00006378922,0.000006818228,0.01518818,0.0002797761,0.00001853001,0.00002648908,0.000165643,0.0002113746,0.00007321817,0.0004586163,0.9834917,0.00001585651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001279303,0.00004460388,0.00004291965,0.0000435023,0.00001357136,0.000008687219,0.9983526,0.00004948664,0.0013167],"genre_scores_gemma":[0.0005335654,0.0001282019,0.0001580551,0.00003464815,0.00001107437,0.0001037138,0.9959915,0.00004056156,0.002998662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1262019,"threshold_uncertainty_score":0.2837034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394919964418232,"score_gpt":0.1739112528620048,"score_spread":0.1599620532178225,"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."}}