{"id":"W6945492240","doi":"10.25549/wpacards-m61597","title":"WPA household census for 1651 W 220TH ST, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Work (physics); Quarter (Canadian coin); Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001452421,0.0008063204,0.0009340304,0.0004863669,0.0002682781,0.0002223881,0.001517592,0.0007230439,0.0006201407],"category_scores_gemma":[0.0000491892,0.0008654619,0.0006538708,0.0003843242,0.0006777394,0.0009930657,0.0008363055,0.0005237011,0.002881515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674484,"about_ca_system_score_gemma":0.0003176191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009251792,"about_ca_topic_score_gemma":0.00001500861,"domain_scores_codex":[0.9971094,0.00007690065,0.0004550346,0.0007521048,0.0007099364,0.0008966633],"domain_scores_gemma":[0.9972474,0.0002533441,0.0008295375,0.001022619,0.00009803214,0.0005490552],"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":[0.0008567595,0.0005093212,0.001104526,0.0005875243,0.0002535553,0.00006765689,0.00000576497,0.000007435508,0.000004128454,0.000005529983,0.9963918,0.0002059645],"study_design_scores_gemma":[0.001123065,0.00004837749,0.00001154115,0.0002281344,0.0004278902,0.00001348427,0.0008306362,0.0000107421,0.00001722508,0.0001454455,0.9962358,0.0009076805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007463564,0.0003509331,0.00001884102,0.00003559535,0.00009668322,0.0007207489,0.996635,0.0004672834,0.0009285637],"genre_scores_gemma":[0.0001614784,0.00003460233,0.0002140915,0.00008754402,0.0004164319,0.000001155217,0.998324,0.0002890543,0.0004715847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002261374,"threshold_uncertainty_score":0.9993796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656160603598343,"score_gpt":0.177958481829455,"score_spread":0.1613968757934716,"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."}}