{"id":"W7131261974","doi":"10.25549/wpacards-c8-160350","title":"WPA household census for 3239 SAN RAFAEL 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); 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":[],"consensus_categories":[],"category_scores_codex":[0.0006236625,0.00115754,0.0009741083,0.003157971,0.0005489266,0.001697129,0.001309386,0.0004987481,0.0689484],"category_scores_gemma":[0.003910223,0.000518707,0.0005088332,0.008748666,0.0001710979,0.001069256,0.0008566949,0.001315426,0.08126164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707454,"about_ca_system_score_gemma":0.003246014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1287861,"about_ca_topic_score_gemma":0.1510328,"domain_scores_codex":[0.9992837,0.00009474461,0.00009404676,0.0002091936,0.0002355672,0.00008283893],"domain_scores_gemma":[0.997893,0.0002533075,0.0002191671,0.0002312342,0.001263243,0.0001400552],"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":[0.000007155756,0.00000557814,0.0008373689,0.00009865788,0.000007508871,0.000006662879,0.00001086474,0.00005131916,0.000008055528,0.0002066281,0.9972627,0.001497512],"study_design_scores_gemma":[0.0000641717,0.00000675195,0.01611288,0.0002887741,0.00002052724,0.00002990047,0.0001731904,0.000247949,0.00006987575,0.0005004868,0.9824692,0.00001632692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000143018,0.00005208653,0.00004268818,0.00004758493,0.00001361443,0.000007059438,0.9985657,0.00004486368,0.001083361],"genre_scores_gemma":[0.0005613133,0.0001228629,0.0001286679,0.00003333173,0.00001069107,0.00008238801,0.9966908,0.00003109625,0.002338874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287861,"threshold_uncertainty_score":0.2560731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147693998523779,"score_gpt":0.1771599523492071,"score_spread":0.1623905524968292,"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."}}