{"id":"W7131267443","doi":"10.25549/wpacards-c8-135328","title":"WPA household census for 13415 S ALAMEDA 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; 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":[0.0006374336,0.001215971,0.00102438,0.003364442,0.0005374433,0.001799027,0.001345492,0.0004928655,0.07111363],"category_scores_gemma":[0.003843011,0.0005339358,0.0005226356,0.008742797,0.000174114,0.001143867,0.0008928677,0.001302972,0.08007475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869399,"about_ca_system_score_gemma":0.003495281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1381311,"about_ca_topic_score_gemma":0.1594261,"domain_scores_codex":[0.9992419,0.0001033814,0.0001015624,0.0002166849,0.0002489836,0.00008746966],"domain_scores_gemma":[0.9978483,0.0002529545,0.0002224763,0.0002358799,0.001294529,0.0001458889],"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":[0.000007046131,0.000005750506,0.0008011779,0.0001066585,0.000007660401,0.000006566977,0.00001084488,0.00005022561,0.000007301705,0.0002257864,0.9971322,0.001638779],"study_design_scores_gemma":[0.00005706898,0.000006338743,0.01438614,0.0002848892,0.00001886816,0.00002704389,0.0001627075,0.0002253537,0.00006285496,0.0004499401,0.9843031,0.00001570731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001385715,0.00005526342,0.00004373619,0.00004892278,0.00001511396,0.000007982197,0.9983894,0.00004961894,0.001251525],"genre_scores_gemma":[0.0005587083,0.0001394957,0.0001405269,0.00003533006,0.00001125619,0.00008959675,0.9963864,0.00003446632,0.002604316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1381311,"threshold_uncertainty_score":0.2746542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431079589312851,"score_gpt":0.1762786102946589,"score_spread":0.1619678144015304,"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."}}