{"id":"W7131264511","doi":"10.25549/wpacards-c8-151824","title":"WPA household census for 6430 AJAX 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); Variety (cybernetics); 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":[0.0006959912,0.001235818,0.001107124,0.00325683,0.0006025183,0.001965062,0.001411101,0.0005595584,0.08956955],"category_scores_gemma":[0.004554903,0.0006208647,0.0005459496,0.009280398,0.00018803,0.001362129,0.0009830265,0.001537671,0.1012433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888463,"about_ca_system_score_gemma":0.003662179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1203951,"about_ca_topic_score_gemma":0.126662,"domain_scores_codex":[0.9991615,0.0001056013,0.0001162694,0.0002398116,0.0002753692,0.0001014861],"domain_scores_gemma":[0.9973645,0.0003027864,0.0002561552,0.0002776702,0.001627243,0.0001718225],"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":[0.000006404555,0.000004970943,0.0005979833,0.00009949152,0.00000626757,0.000005855081,0.000009589569,0.00003943218,0.000006651268,0.0002174283,0.9975662,0.001439842],"study_design_scores_gemma":[0.00005810534,0.000006237084,0.01257708,0.0002902498,0.00001724813,0.00002690224,0.0001493931,0.0001804715,0.00005688397,0.0004670844,0.9861551,0.00001523522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001017456,0.00005305618,0.00004190774,0.00005154072,0.00001636256,0.000008858303,0.9983668,0.00004728767,0.001312495],"genre_scores_gemma":[0.0005269569,0.0001476969,0.0001564224,0.00004394551,0.00001308624,0.0001071919,0.9959612,0.0000405507,0.003002859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1203951,"threshold_uncertainty_score":0.29964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447737724716445,"score_gpt":0.1746046647581774,"score_spread":0.1601272875110129,"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."}}