{"id":"W4253683304","doi":"10.1007/s11432-016-0517-9","title":"Preface","year":2016,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004804852,0.0001161088,0.00008734762,0.0007311154,0.001281736,0.0006246025,0.001593259,0.00002332937,0.0003646573],"category_scores_gemma":[0.001408091,0.00005952772,0.00003094949,0.00420322,0.005233822,0.02679723,0.0001996516,0.00004467095,0.01480779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596932,"about_ca_system_score_gemma":0.00067472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003260178,"about_ca_topic_score_gemma":0.000004457194,"domain_scores_codex":[0.9969267,0.00002248931,0.0003347584,0.0002521255,0.001881122,0.0005828112],"domain_scores_gemma":[0.998985,0.00005334745,0.0002379131,0.0003049318,0.0002322844,0.0001865279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002940886,0.00006092959,0.04060769,0.00001800824,0.000004384286,6.297611e-7,0.01253553,0.0007100676,0.2261626,0.2826528,0.0115436,0.4256744],"study_design_scores_gemma":[0.001236199,0.0004339966,0.6336101,0.0001547358,0.000006666218,0.00007211071,0.002383497,0.009644282,0.2054262,0.02276853,0.1232188,0.001044912],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7753485,0.000007408716,0.006514093,0.001942358,0.0005425919,0.0002154908,0.00002100605,0.0003111008,0.2150974],"genre_scores_gemma":[0.9976426,0.000003699037,0.001886741,0.000197532,0.00002201969,0.00001047195,3.927904e-7,0.000002748988,0.0002337662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5930024,"threshold_uncertainty_score":0.9974734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834998177110224,"score_gpt":0.3007193819241964,"score_spread":0.2823694001530942,"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."}}