{"id":"W3145940301","doi":"10.6084/m9.figshare.3560631.v1","title":"Data Paper. Data Paper","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.00009119583,0.00008624562,0.00009375788,0.00001726434,0.00005679437,0.00002856803,0.0007589207,0.00005706929,0.4730655],"category_scores_gemma":[0.003933339,0.00005622473,0.00001408326,0.00005613912,0.000003070148,0.0008838512,0.0006519604,0.00004258503,0.00362325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366142,"about_ca_system_score_gemma":0.0000269681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004214192,"about_ca_topic_score_gemma":0.0001025149,"domain_scores_codex":[0.9992201,0.00002350506,0.0001816375,0.0002747401,0.0001678098,0.0001321874],"domain_scores_gemma":[0.997323,0.0003382267,0.0000889785,0.002150382,0.0000505244,0.00004886793],"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":[0.000001865159,0.00001548184,0.00005642746,0.00005350848,0.000006629718,0.000001825644,0.00001227048,1.534105e-7,0.00005997179,0.0007400905,0.9775735,0.02147827],"study_design_scores_gemma":[0.0001896755,0.000004793268,0.004045074,0.0005749972,0.000009979864,0.000004579087,0.000002917916,0.0008664613,0.00001894868,0.004113278,0.9900532,0.0001160744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001397814,0.00008788666,0.00009368222,0.001545485,0.00006955712,0.0001815178,0.9905676,0.000143515,0.007171021],"genre_scores_gemma":[0.0672215,0.000007910749,0.004862164,0.0005416515,0.0004874875,0.00002659935,0.9240851,0.00004499495,0.002722547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4694422,"threshold_uncertainty_score":0.9971526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3796316806190208,"score_gpt":0.4010316925396294,"score_spread":0.0214000119206087,"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."}}