{"id":"W7131251637","doi":"10.25549/wpacards-c8-160665","title":"WPA household census for 3223 SAN VINCENTE ST, 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; American Community Survey; Administration (probate law); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006419203,0.00120305,0.001001217,0.003167155,0.0005398337,0.001757419,0.001303725,0.0005130278,0.0732668],"category_scores_gemma":[0.004109397,0.0005375358,0.0005205825,0.008741478,0.0001741711,0.001075787,0.0008768686,0.001357967,0.08476452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172252,"about_ca_system_score_gemma":0.003314793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1276531,"about_ca_topic_score_gemma":0.1455406,"domain_scores_codex":[0.9992616,0.00009859784,0.00009941788,0.0002136746,0.0002415307,0.00008514983],"domain_scores_gemma":[0.9978715,0.0002586391,0.0002217282,0.0002319074,0.001273699,0.0001425078],"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":[0.00000722133,0.000005350365,0.0008073126,0.0001021495,0.000007445359,0.000006663242,0.00001089122,0.00005068946,0.00000796648,0.0002040274,0.9973,0.001490323],"study_design_scores_gemma":[0.00006308432,0.000006542547,0.01538738,0.0002935016,0.00001961077,0.00002973831,0.0001627215,0.000229688,0.00006451003,0.0004932712,0.9832339,0.00001598311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001329725,0.00005444905,0.00004280669,0.00004835973,0.00001391407,0.000007496314,0.9985561,0.00004380059,0.001100011],"genre_scores_gemma":[0.0005478854,0.0001307669,0.0001283933,0.00003583376,0.00001116055,0.00008893164,0.9965792,0.0000329504,0.002444795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9267332,"threshold_uncertainty_score":0.2538202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367880759778282,"score_gpt":0.1769484999916538,"score_spread":0.163269692393871,"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."}}