{"id":"W7131280946","doi":"10.25549/wpacards-c8-121502","title":"WPA household census for 3302 BERKELEY AVE, Los Angeles","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":[],"consensus_categories":[],"category_scores_codex":[0.0007071233,0.001296887,0.001176557,0.0036113,0.0006220419,0.00212093,0.001536013,0.0005187219,0.1036884],"category_scores_gemma":[0.004718398,0.0006570322,0.0006216179,0.009618991,0.0002008819,0.001461208,0.00104373,0.001611591,0.1130824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203447,"about_ca_system_score_gemma":0.00408634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1383807,"about_ca_topic_score_gemma":0.1430143,"domain_scores_codex":[0.9990413,0.0001184527,0.0001323088,0.0002662636,0.0003278861,0.0001138445],"domain_scores_gemma":[0.9974136,0.0002647826,0.0002484773,0.0002701051,0.001652398,0.0001507018],"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":[0.000006391099,0.000004813648,0.0005894024,0.000120197,0.00000647184,0.000005941477,0.00001196338,0.00003671894,0.000006206263,0.0002726216,0.9971845,0.001754818],"study_design_scores_gemma":[0.00004784645,0.000005690488,0.01184576,0.0003017795,0.00001643143,0.00002622655,0.0001547623,0.0001452342,0.00004861036,0.0004208461,0.9869718,0.00001514611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000121102,0.00008636038,0.00005919521,0.00006087313,0.00002190505,0.00001278651,0.9973835,0.00006590698,0.002188282],"genre_scores_gemma":[0.0006274571,0.0002495781,0.0001996063,0.00004765189,0.00001706678,0.0001402125,0.9941099,0.00005536759,0.004553306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1383807,"threshold_uncertainty_score":0.3468721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469278299221249,"score_gpt":0.1753132877660135,"score_spread":0.160620504773801,"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."}}