{"id":"W7131251865","doi":"10.25549/wpacards-c8-158290","title":"WPA household census for 228 SOUTH TOWNSEND STREET, 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); Townsend; Data collection; Administration (probate law)","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":[0.0006526678,0.001164366,0.001044095,0.003010418,0.000574081,0.001849804,0.001375495,0.0004913571,0.07525515],"category_scores_gemma":[0.003931873,0.0005752144,0.0005035825,0.009087966,0.0001751457,0.001176828,0.0009128485,0.001414175,0.08124395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722168,"about_ca_system_score_gemma":0.003512461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1291179,"about_ca_topic_score_gemma":0.1432413,"domain_scores_codex":[0.9992365,0.0001034066,0.0001091282,0.0002107777,0.0002467343,0.00009351876],"domain_scores_gemma":[0.9977658,0.0002611615,0.0002215139,0.0002316342,0.001361634,0.0001583174],"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":[0.000007311999,0.000005961764,0.0007565239,0.0001153064,0.000007518595,0.000007016768,0.00001325903,0.00004864679,0.00000824549,0.0002407535,0.997237,0.001552339],"study_design_scores_gemma":[0.00006292715,0.000007213233,0.01721377,0.0003089571,0.00001959302,0.00002985594,0.000192508,0.0002117528,0.00006594243,0.0005033378,0.9813672,0.00001691582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001320545,0.00005078921,0.00004182271,0.00004553857,0.00001439163,0.000009305291,0.9983624,0.00004311719,0.001300619],"genre_scores_gemma":[0.0005879574,0.0001447932,0.0001546667,0.00003810148,0.00001140825,0.000109474,0.9962479,0.0000374793,0.002668225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1291179,"threshold_uncertainty_score":0.2567326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161238004920116,"score_gpt":0.1763987492192961,"score_spread":0.1602749487272845,"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."}}