{"id":"W7131267256","doi":"10.25549/wpacards-c8-134783","title":"WPA household census for 13127 PENROSE 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":[0.0007084764,0.001222994,0.001101148,0.003068826,0.0005723452,0.001902755,0.001379535,0.0005286159,0.09115077],"category_scores_gemma":[0.004315081,0.000609253,0.0005345063,0.009033284,0.0001827685,0.001305793,0.000959112,0.00145841,0.09905537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913137,"about_ca_system_score_gemma":0.003749203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1254455,"about_ca_topic_score_gemma":0.13101,"domain_scores_codex":[0.9991543,0.0001128066,0.0001159094,0.000239221,0.0002766385,0.000101062],"domain_scores_gemma":[0.9975737,0.0002857062,0.0002374212,0.0002484432,0.001498563,0.0001563215],"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":[0.000006423114,0.000005102282,0.0006366565,0.0001042861,0.000006694183,0.000005937713,0.00001039575,0.00004310151,0.000006892322,0.0002416403,0.9973816,0.001551238],"study_design_scores_gemma":[0.00005589947,0.000006209636,0.01239159,0.0002883316,0.00001737074,0.00002548888,0.0001552831,0.0001853052,0.00005626863,0.0004721243,0.9863312,0.00001476763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001089758,0.0000563996,0.00004623352,0.00005254621,0.00001595469,0.000009450657,0.9981871,0.000047187,0.001476003],"genre_scores_gemma":[0.0005680801,0.0001574745,0.0001661261,0.00004465513,0.00001271723,0.0001124046,0.9957494,0.00004032398,0.003148796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1254455,"threshold_uncertainty_score":0.3049297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454664103648701,"score_gpt":0.1771454279687384,"score_spread":0.1625987869322514,"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."}}