{"id":"W6908374860","doi":"10.25549/wpacards-m67386","title":"WPA household census for 1822 W 45TH ST, Los Angeles County","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Population; Data collection; Statistical analysis; Quarter (Canadian coin)","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":[0.0005492169,0.001716717,0.001431961,0.005222895,0.000665175,0.001654984,0.001653756,0.0008191012,0.04650463],"category_scores_gemma":[0.003727534,0.001068467,0.0007931114,0.0145228,0.0001986613,0.001106337,0.0009305301,0.001413275,0.04861931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161382,"about_ca_system_score_gemma":0.004740808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2975359,"about_ca_topic_score_gemma":0.3469805,"domain_scores_codex":[0.9993716,0.00005897804,0.00009529014,0.0001695167,0.0001869573,0.0001176978],"domain_scores_gemma":[0.9979272,0.0002152447,0.0002887289,0.0002082593,0.001173807,0.0001868168],"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":[0.00002920744,0.00001707584,0.002615011,0.0002050565,0.00002293244,0.00001670211,0.0000306419,0.0001797404,0.00002135586,0.0001678965,0.994568,0.002126516],"study_design_scores_gemma":[0.0002113734,0.00001781611,0.08748519,0.0004171545,0.00006117496,0.0000642601,0.0004243408,0.0005620375,0.0002242616,0.0004427207,0.9100469,0.00004280392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002854558,0.00003740884,0.0000331388,0.00002664085,0.00001072134,0.0000101663,0.998907,0.00004514533,0.0006444545],"genre_scores_gemma":[0.0009289256,0.0001169991,0.0001240826,0.00002809929,0.000009390698,0.0001426911,0.9952996,0.00003012156,0.003320134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2975359,"threshold_uncertainty_score":0.591608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141842084491005,"score_gpt":0.1623679760429919,"score_spread":0.1409495551980818,"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."}}