{"id":"W7131301327","doi":"10.25549/wpacards-c8-117667","title":"WPA household census for 6323 WOODLAWN 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; 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":[0.0006772117,0.001237378,0.001099147,0.003022186,0.0005646042,0.001909558,0.001344642,0.0005372593,0.08157558],"category_scores_gemma":[0.004246871,0.0005860455,0.0005345331,0.00868051,0.0001852604,0.001236953,0.000940161,0.001448656,0.09824106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785593,"about_ca_system_score_gemma":0.003449989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.118392,"about_ca_topic_score_gemma":0.1335998,"domain_scores_codex":[0.9991917,0.0001032253,0.0001080559,0.0002376915,0.0002668381,0.00009256057],"domain_scores_gemma":[0.9976144,0.0002835011,0.0002387362,0.0002625372,0.001436558,0.0001642463],"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":[0.000006762109,0.000005534843,0.0006771224,0.00009601243,0.000006559463,0.000005948965,0.000009496596,0.00004326897,0.000007238775,0.000200017,0.9974256,0.0015163],"study_design_scores_gemma":[0.00006476573,0.000006610813,0.01332478,0.0002921651,0.0000181807,0.0000269879,0.0001519551,0.0002112133,0.00006519289,0.0004923688,0.9853302,0.00001563412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001140933,0.00004936791,0.0000440012,0.00004751484,0.00001447613,0.00000781134,0.9985157,0.0000463247,0.001160693],"genre_scores_gemma":[0.0005026131,0.0001266895,0.000139293,0.00003704306,0.00001111169,0.00009117022,0.9964889,0.00003558112,0.002567547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.118392,"threshold_uncertainty_score":0.2728975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435848351360943,"score_gpt":0.1746011757852444,"score_spread":0.160242692271635,"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."}}