{"id":"W6947520272","doi":"10.3886/icpsr34763.v1","title":"Census of Population and Housing, 2010 [United States]: Guam Summary File","year":2018,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Residence; Quarter (Canadian coin); Apartment; Unit (ring theory); Poverty; Citizenship","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002936937,0.0002489718,0.0003208321,0.0003152688,0.00019707,0.0001097749,0.0008888194,0.000262857,0.01242112],"category_scores_gemma":[0.0001171883,0.0002367059,0.00003472053,0.0002577343,0.0002657421,0.0004856933,0.0002552285,0.000251821,0.0001419647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005035511,"about_ca_system_score_gemma":0.00002332907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09369367,"about_ca_topic_score_gemma":0.008953167,"domain_scores_codex":[0.9985324,0.00006046763,0.0002848812,0.0005504721,0.0002865756,0.0002852632],"domain_scores_gemma":[0.9982036,0.0002028493,0.0003535358,0.00105674,0.00004943832,0.0001338631],"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":[0.00005107413,0.00001345298,0.009357275,0.00009442335,0.00003503097,0.00001753847,0.00001468453,0.000006913141,1.443874e-7,8.423901e-8,0.9889233,0.001486153],"study_design_scores_gemma":[0.0002233244,0.00008607152,0.02725132,0.00009860098,0.00009247313,0.00001053683,0.0000425813,0.000659975,0.000001305998,0.00001604556,0.9712508,0.0002669815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01385945,0.0002648844,8.319857e-7,0.00004245466,0.0005457296,0.0001666109,0.9850378,0.00002716335,0.00005504693],"genre_scores_gemma":[0.0002506856,0.0007646947,0.0005404831,0.0002561253,0.0002009891,2.95937e-7,0.9979376,0.000003862674,0.00004532367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0847405,"threshold_uncertainty_score":0.9884816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07469892512798516,"score_gpt":0.232626879869489,"score_spread":0.1579279547415038,"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."}}