{"id":"W7131310919","doi":"10.25549/wpacards-c8-161799","title":"WPA household census for 645 FERRIS 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006682293,0.001261748,0.001105493,0.003283738,0.0006008017,0.00188979,0.001396865,0.0005359959,0.08453786],"category_scores_gemma":[0.004297025,0.0006140741,0.0005523699,0.009245776,0.0001862661,0.001297488,0.0009348383,0.001487556,0.09846205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923595,"about_ca_system_score_gemma":0.00361909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1359286,"about_ca_topic_score_gemma":0.1384916,"domain_scores_codex":[0.9991885,0.0001002787,0.0001119932,0.0002337385,0.0002654078,0.0001001306],"domain_scores_gemma":[0.997628,0.0002624504,0.0002380352,0.0002383607,0.001478399,0.0001546822],"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":[0.000006858315,0.000005308345,0.0006933438,0.000101108,0.000006959446,0.000006454679,0.00001031223,0.0000416952,0.000006805417,0.0002072782,0.9974088,0.001505101],"study_design_scores_gemma":[0.00006683724,0.00000729826,0.01585487,0.0003137111,0.00002030642,0.00003009667,0.0001705961,0.0001945137,0.00006139772,0.0004751477,0.9827889,0.000016481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001222469,0.00005847382,0.00004183246,0.00005104118,0.00001614516,0.000009088178,0.9982979,0.00004843481,0.001354762],"genre_scores_gemma":[0.0005930933,0.0001583182,0.0001435113,0.00004172054,0.00001390192,0.0001088391,0.9957514,0.00003805489,0.003151078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1359286,"threshold_uncertainty_score":0.2828074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555700611415265,"score_gpt":0.1773893626980266,"score_spread":0.161832356583874,"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."}}