{"id":"W7131282090","doi":"10.25549/wpacards-ouc11580122","title":"WPA household census for 212 SOUTH HERBERT AVE, 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001208263,0.0009021505,0.00115494,0.0004660868,0.0003032382,0.0003755372,0.00149847,0.0008192885,0.0004417031],"category_scores_gemma":[0.00009477072,0.00100949,0.0009057476,0.000578794,0.0006671544,0.0006796549,0.001044599,0.000623355,0.001938323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694073,"about_ca_system_score_gemma":0.0006191268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008834482,"about_ca_topic_score_gemma":0.00002134121,"domain_scores_codex":[0.9966028,0.0001019585,0.0005491658,0.001100261,0.0008168766,0.0008289726],"domain_scores_gemma":[0.9970009,0.000257532,0.000849521,0.001238423,0.0001594347,0.0004941821],"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":[0.0007663306,0.0004131939,0.0008830167,0.0007537361,0.0003353322,0.0003424567,0.00001617437,0.00002099263,0.000007317344,0.000002723893,0.9963435,0.0001152557],"study_design_scores_gemma":[0.001352658,0.00004001002,0.000009656291,0.0004648583,0.0004201532,0.00001711351,0.00282444,0.00001985693,0.00004048982,0.0001109133,0.9936758,0.001024034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001301149,0.0003463379,0.00002429067,0.00004860531,0.0001054108,0.000650592,0.996174,0.000440901,0.0009087092],"genre_scores_gemma":[0.0001279791,0.00003577961,0.0003247058,0.000139433,0.0002989676,0.000001455918,0.9978611,0.0003258351,0.000884715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002808266,"threshold_uncertainty_score":0.9992356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143107333854011,"score_gpt":0.1735398364615145,"score_spread":0.1592291030761134,"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."}}