{"id":"W7131275957","doi":"10.25549/wpacards-c8-134407","title":"WPA bock face card for household census (block 2203) in Los Angeles County","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); Face (sociological concept)","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":[0.0007128205,0.001209922,0.001129661,0.003594108,0.0006667404,0.002094808,0.001611515,0.0007932513,0.08869091],"category_scores_gemma":[0.004470571,0.0006511422,0.0005338684,0.01006272,0.0002307594,0.00117205,0.00127452,0.001386977,0.117155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890735,"about_ca_system_score_gemma":0.003329826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1303959,"about_ca_topic_score_gemma":0.1531311,"domain_scores_codex":[0.9991165,0.0001033216,0.000114835,0.0002667463,0.0002616667,0.0001369919],"domain_scores_gemma":[0.9973539,0.0003162044,0.0003054295,0.0003625254,0.001419114,0.0002428654],"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":[0.00001027156,0.000006472562,0.0005898503,0.0001037025,0.000005393858,0.00000625352,0.00001019177,0.00005091968,0.00001445252,0.0001588384,0.9979637,0.001080023],"study_design_scores_gemma":[0.00008444421,0.000008120916,0.01417575,0.0002197099,0.00001277442,0.00002339202,0.0001395235,0.0002420056,0.0001244561,0.0003659382,0.9845837,0.00002007297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009601207,0.00001733662,0.00002679838,0.00002483946,0.000008057174,0.000006455041,0.9990813,0.00006350969,0.0006756647],"genre_scores_gemma":[0.0002721273,0.0000301417,0.00009625459,0.00001881835,0.00000459768,0.00006012445,0.99839,0.00002784723,0.00110008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1303959,"threshold_uncertainty_score":0.2967007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429146524240518,"score_gpt":0.1773350390547562,"score_spread":0.163043573812351,"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."}}