{"id":"W7053147877","doi":"","title":"Survey Results: Understanding the Impact of COVID-19 on 2020 Census Funders & Grantees","year":2020,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; American Community Survey; Representation (politics); Politics; Democracy; Distribution (mathematics); Public health; Quarter (Canadian coin)","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":[0.03555424,0.0002800478,0.000312037,0.002809637,0.001149775,0.004116019,0.001165711,0.0007512197,0.01435348],"category_scores_gemma":[0.1712346,0.0002572634,0.000505983,0.005744448,0.001145371,0.004346575,0.003190908,0.001507507,0.002293295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00503148,"about_ca_system_score_gemma":0.009940154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1427292,"about_ca_topic_score_gemma":0.147802,"domain_scores_codex":[0.9727004,0.01656111,0.00117321,0.0007951272,0.004794315,0.003975837],"domain_scores_gemma":[0.8486835,0.07364181,0.02442389,0.00408547,0.03979843,0.009366926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002266939,0.0002402235,0.7528105,0.0003192236,0.0001109805,0.00005795141,0.006089908,0.0006774017,0.00004756536,0.01641111,0.1318008,0.09120747],"study_design_scores_gemma":[0.00003133309,0.0001845245,0.8762779,0.001045732,0.00006818849,0.00006495928,0.02371017,0.002102496,0.0001821241,0.004130101,0.09215209,0.00005042887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6164421,0.005174276,0.003704475,0.1440366,0.0007028392,0.0004689677,0.05754248,0.0001071802,0.1718212],"genre_scores_gemma":[0.9722694,0.002422628,0.00116545,0.005956047,0.0002371084,0.0005969649,0.009744032,0.00005318732,0.007555165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1427292,"threshold_uncertainty_score":0.2837968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305242274009196,"score_gpt":0.3520111610840709,"score_spread":0.2214869336831513,"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."}}