{"id":"W7131210077","doi":"10.25549/wpacards-c8-131303","title":"WPA household census for 257 1/2 WINDWARD 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; American Community Survey; Administration (probate law); 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":[0.0006838845,0.001263177,0.001072293,0.003091534,0.0005909619,0.002009646,0.001415094,0.0005402289,0.08291806],"category_scores_gemma":[0.004415082,0.0006223542,0.0005673016,0.008786236,0.0001964271,0.001239219,0.000962175,0.001483141,0.1004934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840661,"about_ca_system_score_gemma":0.003499552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1244793,"about_ca_topic_score_gemma":0.1412459,"domain_scores_codex":[0.9992028,0.0001028335,0.0001083745,0.0002336485,0.0002595311,0.00009282131],"domain_scores_gemma":[0.9975907,0.0002978033,0.0002360469,0.0002768993,0.001436387,0.0001622966],"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":[0.000006542871,0.000005461031,0.0006407674,0.00009602528,0.000006143517,0.00000595542,0.00001008187,0.00004332564,0.000007487515,0.000186779,0.9976694,0.001321857],"study_design_scores_gemma":[0.00006446349,0.000006681134,0.01370814,0.0003059623,0.00001738371,0.0000277216,0.0001654366,0.0002216264,0.00007034811,0.0004684005,0.9849274,0.00001650392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000105186,0.00004226596,0.00003804762,0.00004209989,0.00001376488,0.000007843846,0.9985971,0.00004648515,0.001107128],"genre_scores_gemma":[0.0004547583,0.0001119567,0.0001374848,0.00003297807,0.00000999946,0.00008793447,0.99678,0.00003762781,0.002347424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1244793,"threshold_uncertainty_score":0.2773886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430128386122249,"score_gpt":0.174871609248707,"score_spread":0.1605703253874845,"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."}}