{"id":"W7131260384","doi":"10.25549/wpacards-c8-137878","title":"WPA household census for 1636 1/2 SOUTH MAPLE ST, 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; Administration (probate law); Value (mathematics); American Community Survey","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":[0.0005852747,0.001232759,0.001032764,0.003275583,0.0005378426,0.001823823,0.001439499,0.0004902247,0.08441906],"category_scores_gemma":[0.003617275,0.000582887,0.0005351081,0.009416072,0.0001762877,0.001159555,0.0008865538,0.001364943,0.09278981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198141,"about_ca_system_score_gemma":0.00330824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1588667,"about_ca_topic_score_gemma":0.1782612,"domain_scores_codex":[0.9993066,0.0000913724,0.00009284902,0.000190576,0.0002302987,0.0000883737],"domain_scores_gemma":[0.997962,0.0002258136,0.0002245466,0.000233902,0.00121118,0.0001426547],"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":[0.000006874215,0.000005724902,0.0007451227,0.0001149386,0.000006888291,0.000006848518,0.00001322985,0.00004664548,0.000007471894,0.0002138783,0.9971957,0.001636629],"study_design_scores_gemma":[0.00005620144,0.000006919011,0.01780734,0.0003006326,0.00001838423,0.00002696263,0.0001908901,0.0002327391,0.00007104764,0.0004364503,0.9808354,0.00001685091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001508044,0.00005370302,0.00004931066,0.0000452519,0.00001313014,0.000009066924,0.9981445,0.00005697254,0.001477284],"genre_scores_gemma":[0.000640651,0.0001551151,0.0001558134,0.00003309307,0.0000115935,0.0001149646,0.9952282,0.00004275461,0.003617839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1588667,"threshold_uncertainty_score":0.3158841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629836092244299,"score_gpt":0.1744436868584189,"score_spread":0.1581453259359759,"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."}}