{"id":"W7131243681","doi":"10.25549/wpacards-c8-131216","title":"WPA household census for 1503 BELLEVUE AVE, Los Angeles","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":[],"consensus_categories":[],"category_scores_codex":[0.0006589954,0.001243595,0.001137374,0.003334403,0.0005677097,0.001972102,0.001501095,0.0005200194,0.08435325],"category_scores_gemma":[0.004232006,0.0006390653,0.0005673452,0.009037904,0.0001870731,0.001345245,0.0009742271,0.001522657,0.09211787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074423,"about_ca_system_score_gemma":0.00377687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1607582,"about_ca_topic_score_gemma":0.1682469,"domain_scores_codex":[0.9992068,0.0000995632,0.0001110059,0.000217192,0.000264288,0.0001011566],"domain_scores_gemma":[0.9976205,0.000262115,0.0002395642,0.0002507996,0.001473209,0.0001538377],"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":[0.000006626485,0.000005172315,0.0006643243,0.0001095305,0.000006788111,0.000006293521,0.00001049288,0.00004215203,0.000006215687,0.0002368029,0.99735,0.001555657],"study_design_scores_gemma":[0.00006121203,0.000006862338,0.01497555,0.0003123539,0.00001902818,0.00002887348,0.0001618313,0.000214751,0.00006121471,0.0004725844,0.983668,0.0000176735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001247968,0.0000652302,0.00004932834,0.00005443351,0.00001592603,0.000009723631,0.9981301,0.00006041984,0.001489937],"genre_scores_gemma":[0.0005980673,0.0001793766,0.0001626749,0.00004046362,0.00001301616,0.0001098861,0.9956742,0.00004366428,0.003178622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1607582,"threshold_uncertainty_score":0.319645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532110986294287,"score_gpt":0.1738887801072872,"score_spread":0.1585676702443443,"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."}}