{"id":"W7131209207","doi":"10.25549/wpacards-c8-139496","title":"WPA block face card for household census (block 183) in 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); Block (permutation group theory); 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":[0.0007077884,0.001321161,0.00114987,0.003187007,0.0006864066,0.002096342,0.001857223,0.0008347204,0.08769955],"category_scores_gemma":[0.004448517,0.0006368509,0.0005922142,0.007327182,0.0002479065,0.001307886,0.001399361,0.001506186,0.1319143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174121,"about_ca_system_score_gemma":0.002708333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1151575,"about_ca_topic_score_gemma":0.146279,"domain_scores_codex":[0.9991573,0.0001174726,0.0001036775,0.0002571603,0.0002348332,0.0001295706],"domain_scores_gemma":[0.997628,0.0002841126,0.0002621117,0.0003901923,0.001219462,0.0002161481],"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":[0.00001049177,0.000006817544,0.0005585776,0.00008942901,0.000005898731,0.000006524756,0.000009362946,0.0000530699,0.00001187586,0.0001652384,0.9979975,0.001085145],"study_design_scores_gemma":[0.00008152196,0.000008432133,0.01079933,0.0001924761,0.00001189979,0.00002735291,0.0001241326,0.00029358,0.0001165818,0.0004336632,0.9878893,0.00002172225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001044918,0.00001988511,0.00003588805,0.00003115175,0.0000110568,0.000007416449,0.9989709,0.00008312911,0.0007362177],"genre_scores_gemma":[0.0002521022,0.00002844352,0.00009787494,0.00001878237,0.000005090056,0.00005933534,0.9983546,0.00002640194,0.001157573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1151575,"threshold_uncertainty_score":0.2933843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465011747875319,"score_gpt":0.178332456120684,"score_spread":0.1636823386419309,"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."}}