{"id":"W7131313087","doi":"10.25549/wpacards-ouc11582911","title":"WPA household census for 4016 1/2 CARLIN 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; Population","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":[0.0007263058,0.001288441,0.001093678,0.003135945,0.0006234516,0.002000678,0.001394942,0.0005884349,0.08523884],"category_scores_gemma":[0.004365921,0.0006267638,0.0005716605,0.009132983,0.0001927087,0.001247721,0.0009681055,0.001525316,0.1042638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001993095,"about_ca_system_score_gemma":0.003656477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1285807,"about_ca_topic_score_gemma":0.1409214,"domain_scores_codex":[0.9991615,0.000104028,0.0001092792,0.0002391616,0.0002813265,0.0001047326],"domain_scores_gemma":[0.9974941,0.000304734,0.0002522287,0.00028826,0.001477142,0.0001836081],"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":[0.000007048598,0.000006030745,0.0006739319,0.00009150791,0.000006147914,0.000005516291,0.00001034814,0.0000410608,0.000007844135,0.0001911701,0.9975641,0.00139532],"study_design_scores_gemma":[0.00006827222,0.000007237705,0.01560763,0.0002950031,0.00001830278,0.00002670821,0.0001787591,0.0002171368,0.00007872307,0.0004403894,0.9830452,0.00001661344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000121212,0.00004353167,0.00003840792,0.00004469798,0.00001332764,0.000008428953,0.9985124,0.00004380207,0.00117415],"genre_scores_gemma":[0.0005134763,0.0001188088,0.0001418774,0.00003521417,0.00001065532,0.0000981485,0.9962171,0.00003488656,0.002829881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1285807,"threshold_uncertainty_score":0.2851523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392282505943518,"score_gpt":0.1747004144102418,"score_spread":0.1607775893508067,"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."}}