{"id":"W4384302929","doi":"10.2172/1989385","title":"Pacific Northwest National Laboratory Regional Populations – 2020 Census: Richland Campus and Sequim Campus","year":2023,"lang":"en","type":"report","venue":"","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Battelle","keywords":"Census; Geography; National laboratory; University campus; Archaeology; Demography; Library science; Engineering; Population; Sociology; Computer science; Engineering physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":[],"domain":null,"study_design":"observational","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02836818,0.0003008415,0.0004735194,0.0003281752,0.001189094,0.0000946791,0.0002341678,0.0009696714,0.0003615958],"category_scores_gemma":[0.03354053,0.0002902215,0.0001263073,0.000999445,0.0007190772,0.0001570526,0.00008757654,0.0005868426,0.0001033857],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539572,"about_ca_system_score_gemma":0.006803016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01507214,"about_ca_topic_score_gemma":0.09177935,"domain_scores_codex":[0.9900188,0.006702298,0.0005116915,0.000670717,0.001611394,0.0004850336],"domain_scores_gemma":[0.9858946,0.01137682,0.0003655912,0.0002383091,0.001833941,0.0002907188],"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":[0.000351632,0.00006984103,0.1725449,0.00005479743,0.0002185473,0.0002093196,0.002497649,0.00001200976,0.00001171428,0.003714761,0.8193215,0.000993376],"study_design_scores_gemma":[0.0001656431,0.00001822455,0.3054817,0.00003082113,0.00004974592,0.00003064951,0.001713578,0.000003502621,7.377359e-7,0.001955219,0.6902059,0.0003442817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2969021,0.01656347,0.0004078281,0.02768818,0.04964205,0.003839649,0.03285536,0.003132754,0.5689686],"genre_scores_gemma":[0.2304974,0.0380473,0.01180225,0.001812819,0.02226028,0.0005685405,0.02235355,0.0004910757,0.6721668],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1329368,"threshold_uncertainty_score":0.999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3725251293687136,"score_gpt":0.4834254786677233,"score_spread":0.1109003492990097,"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."}}