{"id":"W7131291633","doi":"10.25549/wpacards-c8-134224","title":"WPA household census for 428 WEST IMPERIAL STREET, 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":[0.0006049209,0.001178673,0.001049567,0.003252077,0.0005846892,0.001885448,0.001334756,0.0004953865,0.07973841],"category_scores_gemma":[0.004108696,0.0005787969,0.0005010145,0.009661311,0.000185444,0.001192892,0.0009153574,0.001380943,0.09084408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671884,"about_ca_system_score_gemma":0.00344223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1283404,"about_ca_topic_score_gemma":0.1494427,"domain_scores_codex":[0.9992212,0.0001004769,0.0001117724,0.0002180371,0.0002571171,0.0000913869],"domain_scores_gemma":[0.9977555,0.0002609338,0.0002252771,0.0002481882,0.001357493,0.0001527216],"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":[0.000006884559,0.000005258948,0.0007209465,0.0001114107,0.000007169508,0.000007120787,0.00001329454,0.00004279078,0.000007591976,0.0002265946,0.9973667,0.001484199],"study_design_scores_gemma":[0.00005199075,0.00000599044,0.01548064,0.0002838275,0.00001721493,0.00002827052,0.0001793571,0.0001631327,0.0000579094,0.0004260406,0.9832908,0.00001490818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001349768,0.00005888517,0.00004104133,0.00004569296,0.00001485024,0.000008637612,0.9982367,0.00004563204,0.001413533],"genre_scores_gemma":[0.0005644695,0.0001589183,0.0001438426,0.00003651895,0.00001223935,0.0001058678,0.9958903,0.0000387751,0.003048985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1283404,"threshold_uncertainty_score":0.2667515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255637918828773,"score_gpt":0.1760300581451052,"score_spread":0.1634736789568175,"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."}}