{"id":"W7131238199","doi":"10.25549/wpacards-c8-151293","title":"WPA household census for 6821 CHANSLOR 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":[0.0006715994,0.001205179,0.001048162,0.00302384,0.0005711151,0.001847985,0.001352376,0.000517363,0.0759354],"category_scores_gemma":[0.004189228,0.0005707532,0.0005317671,0.008300637,0.0001810661,0.001219478,0.0009128576,0.001424714,0.08713409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849174,"about_ca_system_score_gemma":0.003567696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1341045,"about_ca_topic_score_gemma":0.149387,"domain_scores_codex":[0.9992217,0.0001023827,0.0001022751,0.0002286438,0.0002534257,0.00009145826],"domain_scores_gemma":[0.9976549,0.0002681721,0.0002279012,0.0002429519,0.001450536,0.0001554922],"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":[0.000006835513,0.00000538868,0.0007478325,0.00009652732,0.000006830886,0.000006180208,0.00001039503,0.00004367015,0.000006962034,0.0002092498,0.9973307,0.00152949],"study_design_scores_gemma":[0.00006579677,0.000006735776,0.01479789,0.000299966,0.00001902512,0.00002774503,0.0001635227,0.000219088,0.00006289314,0.0004753369,0.9838458,0.00001621956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001259562,0.00005437987,0.00004548351,0.00005211259,0.00001502126,0.000008599329,0.9984245,0.00004702812,0.001226992],"genre_scores_gemma":[0.000570407,0.0001402414,0.000150736,0.00003929937,0.0000117017,0.0001028212,0.9962147,0.00003618532,0.002734031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1341045,"threshold_uncertainty_score":0.2666478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555027539433268,"score_gpt":0.1751844288945189,"score_spread":0.1596341535001862,"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."}}