{"id":"W7131224539","doi":"10.25549/wpacards-c8-141257","title":"WPA household census for 1286 CLELA 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); Variety (cybernetics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006771561,0.001235225,0.001061201,0.003290143,0.000591542,0.001831638,0.001382097,0.0005447777,0.08030516],"category_scores_gemma":[0.004291612,0.0006098833,0.0005341659,0.009265119,0.0001872385,0.001244929,0.0009455028,0.001475875,0.09325784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852666,"about_ca_system_score_gemma":0.003654892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1285366,"about_ca_topic_score_gemma":0.1374758,"domain_scores_codex":[0.9992022,0.0001002141,0.0001081795,0.0002310322,0.0002594807,0.00009896219],"domain_scores_gemma":[0.9975979,0.0002729574,0.0002378478,0.0002567219,0.001474027,0.0001605162],"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":[0.000007201686,0.000005319729,0.0006673581,0.0001007863,0.000006641138,0.000006378064,0.00001021578,0.00004324491,0.000007507345,0.0002142624,0.9975432,0.001387789],"study_design_scores_gemma":[0.00006348696,0.000006784819,0.01432694,0.0002847227,0.00001806265,0.00002874834,0.000162366,0.0001947637,0.00006487616,0.0004509897,0.9843827,0.00001553235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001136195,0.0000488514,0.00003939038,0.00004597071,0.00001425933,0.000008253074,0.9984876,0.00004482369,0.001197109],"genre_scores_gemma":[0.0005200195,0.0001284368,0.0001366099,0.00003617757,0.00001139182,0.00009439945,0.9963993,0.00003423887,0.002639412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9196948,"threshold_uncertainty_score":0.2686475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421732287478962,"score_gpt":0.1750220132981683,"score_spread":0.1608046904233787,"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."}}