{"id":"W7131211567","doi":"10.25549/wpacards-c8-162012","title":"WPA household census for 670 SOUTH FRASER 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":[0.0006911877,0.001200114,0.00105095,0.003197311,0.0005795988,0.001860942,0.001395314,0.0005322486,0.07302842],"category_scores_gemma":[0.004411786,0.0005653546,0.0005395856,0.008830916,0.0001902832,0.001246252,0.0009274393,0.001481402,0.09131909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814104,"about_ca_system_score_gemma":0.00342141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1222193,"about_ca_topic_score_gemma":0.1352544,"domain_scores_codex":[0.9992146,0.000101231,0.0001060868,0.0002280997,0.000258059,0.00009191072],"domain_scores_gemma":[0.997552,0.0003027405,0.0002484831,0.0002584064,0.001476929,0.000161394],"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":[0.000006630157,0.000005178237,0.0007059771,0.00009728117,0.000006761892,0.000006169374,0.000009484924,0.00004376592,0.000006964996,0.0002006103,0.9975268,0.001384342],"study_design_scores_gemma":[0.00006649713,0.000006871723,0.01495452,0.0003155459,0.00001992495,0.00003104226,0.0001619147,0.0002182691,0.00006778649,0.0005221763,0.9836183,0.00001714892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001112258,0.0000491704,0.00004102413,0.00004630573,0.00001407001,0.000007334824,0.9986628,0.0000429728,0.001024957],"genre_scores_gemma":[0.000484742,0.0001260712,0.0001328984,0.000037188,0.00001110026,0.00008489305,0.9969021,0.00003270619,0.002188358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1222193,"threshold_uncertainty_score":0.2443044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410920493036548,"score_gpt":0.172818961152174,"score_spread":0.1587097562218085,"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."}}