{"id":"W7131208378","doi":"10.25549/wpacards-ouc11578728","title":"WPA household census for 3719 1/2 SISKIYOU, Los Angeles","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); 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":[0.0005651251,0.00127001,0.001121563,0.003770759,0.0005552754,0.001912169,0.001415581,0.000488042,0.1018628],"category_scores_gemma":[0.003864939,0.0005967277,0.0005633901,0.01019153,0.0001870025,0.001115768,0.0009469913,0.001275426,0.1061833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00200396,"about_ca_system_score_gemma":0.004094075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1612642,"about_ca_topic_score_gemma":0.1908176,"domain_scores_codex":[0.9993032,0.00009011245,0.0000932354,0.0001934744,0.0002272206,0.00009272234],"domain_scores_gemma":[0.998019,0.0002341649,0.0001971962,0.0002444315,0.001168084,0.0001371796],"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":[0.000008312461,0.000005929,0.0007167618,0.0001583767,0.00000785733,0.000007643833,0.00001573196,0.00005628154,0.00001020012,0.0002560207,0.9971137,0.001643196],"study_design_scores_gemma":[0.00005549183,0.000005782509,0.01311927,0.0003230333,0.00001699288,0.00002539395,0.0001994326,0.0002184594,0.00007684906,0.0003832694,0.9855597,0.00001643524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000123191,0.00004692094,0.00004118016,0.00003297345,0.00001161769,0.000007995465,0.9982985,0.00006015788,0.0013775],"genre_scores_gemma":[0.0004627184,0.0001257054,0.0001215932,0.00002323594,0.000007450894,0.0001002775,0.9961472,0.00004498133,0.002966913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1612642,"threshold_uncertainty_score":0.3407649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497646394130753,"score_gpt":0.1754273084808586,"score_spread":0.1604508445395511,"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."}}