{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007675872,0.0004623508,0.0006574056,0.000126578,0.0001762223,0.00009395844,0.0004831103,0.0003159408,0.00007174016],"category_scores_gemma":[0.002474069,0.0003495858,0.0002667223,0.0006391643,0.0001291938,0.00003000936,0.00007065375,0.0006606826,0.00007692602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321241,"about_ca_system_score_gemma":0.0006124668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006203533,"about_ca_topic_score_gemma":0.005094543,"domain_scores_codex":[0.9977666,0.0001056773,0.0006537938,0.0004340421,0.0006225358,0.0004173141],"domain_scores_gemma":[0.9963397,0.002209857,0.0002805055,0.0007250163,0.000120404,0.0003244733],"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":[0.00008309244,0.0000422253,0.0004773429,0.0002997617,0.0005134084,0.00002620177,0.0005516239,0.07935604,0.0000508586,0.0002669966,0.9181941,0.0001384166],"study_design_scores_gemma":[0.001484499,0.0001981018,0.004853984,0.0004078104,0.0002621567,0.0000384161,0.0005936852,0.006507485,0.0001624024,0.001867152,0.9825056,0.001118738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04099502,0.01197723,0.02691703,0.02572427,0.007419717,0.00757597,0.287066,0.00331515,0.5890096],"genre_scores_gemma":[0.9866012,0.007579638,0.00004740354,0.00007328828,0.0004815058,0.00004512096,0.004299335,0.0001375907,0.0007348785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9456062,"threshold_uncertainty_score":0.9998956,"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."}}