{"id":"W6927310249","doi":"10.25549/wpacards-c8-119426","title":"WPA block face card for household census (block 1660) in Los Angeles","year":2014,"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; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin); Population","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":[0.0005989455,0.001571333,0.001224609,0.005208046,0.0007802154,0.001944079,0.001866369,0.00112249,0.106782],"category_scores_gemma":[0.00493862,0.0008237633,0.0006625235,0.009654442,0.0002871764,0.001273518,0.001530289,0.001266895,0.1331173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833234,"about_ca_system_score_gemma":0.003929333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1565274,"about_ca_topic_score_gemma":0.2096062,"domain_scores_codex":[0.9991609,0.00008645176,0.00009713407,0.0002149656,0.0002712943,0.0001691522],"domain_scores_gemma":[0.9970119,0.0003358206,0.0003815016,0.0004861865,0.001490026,0.0002944808],"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":[0.00002640542,0.00001289759,0.0011925,0.0001000169,0.000009288782,0.000009261283,0.00001479846,0.000106304,0.00002539684,0.0001341374,0.9967166,0.001652388],"study_design_scores_gemma":[0.0001223606,0.0000133373,0.02456157,0.0002212046,0.00002372177,0.0000387379,0.000224702,0.0006106705,0.0003199625,0.0004701812,0.9733546,0.00003886727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002148017,0.00001582353,0.00003433538,0.00002291305,0.000009926619,0.000009369964,0.9987494,0.0001081844,0.0008353004],"genre_scores_gemma":[0.0004678063,0.00002946688,0.000109839,0.00001686969,0.000005631184,0.000074239,0.9970251,0.00002985107,0.002241202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1565274,"threshold_uncertainty_score":0.3572212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314237435802319,"score_gpt":0.1755593878531312,"score_spread":0.162417013495108,"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."}}