{"id":"W7131229295","doi":"10.25549/wpacards-c8-141296","title":"WPA household census for 1301 SOUTH KERN AVE, 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); American Community Survey; 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":[0.0006872651,0.001207874,0.001062938,0.003114859,0.0005686084,0.00183242,0.001399528,0.0005197733,0.08040391],"category_scores_gemma":[0.004217242,0.0005964948,0.0005300109,0.008993657,0.0001824807,0.001277838,0.0009528074,0.001468033,0.09221379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834788,"about_ca_system_score_gemma":0.003615606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1232264,"about_ca_topic_score_gemma":0.1317471,"domain_scores_codex":[0.9992186,0.0001026612,0.000109186,0.0002216808,0.0002499401,0.00009789092],"domain_scores_gemma":[0.9976466,0.000277221,0.0002358779,0.000243149,0.001441917,0.0001553224],"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":[0.000006723611,0.000005162251,0.0006718105,0.0001056285,0.000006755297,0.000006324602,0.00001089048,0.00004311703,0.000007392911,0.0002356033,0.9974343,0.00146615],"study_design_scores_gemma":[0.0000601605,0.000006658929,0.01405244,0.0003021853,0.00001846139,0.00002878437,0.0001720892,0.0001971445,0.0000628081,0.0005026203,0.9845809,0.00001582607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001130138,0.00005159584,0.00004416101,0.00004857693,0.00001462935,0.000008780058,0.9984475,0.00004466759,0.001226986],"genre_scores_gemma":[0.000535938,0.0001406912,0.0001563859,0.00003963198,0.00001158002,0.0001040253,0.9964185,0.00003719418,0.002556027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1232264,"threshold_uncertainty_score":0.2689779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482793071200178,"score_gpt":0.1731168371950544,"score_spread":0.1582889064830527,"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."}}