{"id":"W7131314291","doi":"10.25549/wpacards-c8-151860","title":"WPA household census for 5964 GAGE 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":[0.000670547,0.001212473,0.001081688,0.003115682,0.0005859391,0.001891276,0.001395705,0.0005480943,0.08943811],"category_scores_gemma":[0.004329617,0.0006115775,0.0005319709,0.00898123,0.0001889399,0.001332974,0.000948465,0.001492634,0.1013553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840155,"about_ca_system_score_gemma":0.003556149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1252453,"about_ca_topic_score_gemma":0.1282161,"domain_scores_codex":[0.9991799,0.0001043972,0.0001141099,0.0002399089,0.0002623235,0.00009942701],"domain_scores_gemma":[0.997558,0.0002828839,0.0002404439,0.0002487731,0.00151296,0.0001568548],"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":[0.000006591374,0.000005220784,0.0006480523,0.0001018562,0.00000647945,0.000006096361,0.00001011029,0.00004232646,0.000006909071,0.0002227243,0.9974929,0.001450784],"study_design_scores_gemma":[0.00006261516,0.000006632999,0.01357971,0.0002969762,0.0000180029,0.0000278396,0.0001613161,0.0001893312,0.00005904569,0.000474763,0.9851078,0.00001586456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001065567,0.00005111525,0.00004029902,0.00004939357,0.00001541227,0.000008704518,0.9983984,0.00004439589,0.001285661],"genre_scores_gemma":[0.0005632684,0.0001463448,0.0001503263,0.00004370989,0.00001262284,0.0001059749,0.9959779,0.00003824771,0.002961707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1252453,"threshold_uncertainty_score":0.2992003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148542315592915,"score_gpt":0.174949181260949,"score_spread":0.1600949497016575,"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."}}