{"id":"W7131311904","doi":"10.25549/wpacards-c8-158047","title":"WPA household census for 211 S 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":[0.0006775209,0.001191645,0.001100042,0.003213289,0.0005858553,0.00195958,0.001410572,0.0005098787,0.077967],"category_scores_gemma":[0.004241168,0.0006046782,0.0005221701,0.009594782,0.0001811554,0.001215559,0.0009538158,0.001475947,0.08282791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782762,"about_ca_system_score_gemma":0.003775207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1253913,"about_ca_topic_score_gemma":0.1413557,"domain_scores_codex":[0.9991835,0.0001071343,0.0001196075,0.0002216726,0.0002677694,0.0001003308],"domain_scores_gemma":[0.9975517,0.0002920832,0.0002386101,0.0002577286,0.001487392,0.0001723674],"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":[0.000006856819,0.00000572439,0.0006873737,0.0001140524,0.00000714564,0.000006726999,0.00001191555,0.00004570073,0.000007850016,0.0002493846,0.9973451,0.001512245],"study_design_scores_gemma":[0.00006147933,0.000006889954,0.0159224,0.0003139786,0.00001855093,0.00002837915,0.0001723931,0.0002008381,0.00006181357,0.0005249096,0.9826714,0.00001684127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001154057,0.00005059528,0.00004195212,0.00004573759,0.00001521956,0.00001000697,0.9983114,0.00004393196,0.001365705],"genre_scores_gemma":[0.0005552127,0.0001527369,0.0001629676,0.00003988135,0.00001203182,0.0001120289,0.996296,0.00004024332,0.002628942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1253913,"threshold_uncertainty_score":0.2608256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568230927610798,"score_gpt":0.1775702323493174,"score_spread":0.1618879230732095,"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."}}