{"id":"W2267446222","doi":"","title":"Editorial for special issue in celebration of 10th anniversary of Chinese OpticsLetters","year":2013,"lang":"en","type":"article","venue":"Chinese Optics Letters","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constructive; Library science; Chin; Operations research; Computer science; History; Medicine; Mathematics; Process (computing)","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":[],"consensus_categories":[],"category_scores_codex":[0.001794266,0.0001782875,0.000389347,0.0005638257,0.0000620819,0.000163812,0.0009112231,0.0000637284,0.0001977568],"category_scores_gemma":[0.002283034,0.0001300473,0.0001479447,0.001037013,0.0001622652,0.0005136574,0.0002523984,0.0001074277,0.00006161303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003455917,"about_ca_system_score_gemma":0.00002944316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008270436,"about_ca_topic_score_gemma":0.00002037863,"domain_scores_codex":[0.9972377,0.00007188602,0.0008614136,0.0005002616,0.001074569,0.0002541658],"domain_scores_gemma":[0.9975507,0.0008930731,0.0003976602,0.0007697603,0.0003191404,0.00006972309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006583374,0.0001224476,0.01884556,0.00003373059,0.00001967365,0.000001801468,0.001422536,0.009690672,0.01517198,0.0001447912,0.9501417,0.004339257],"study_design_scores_gemma":[0.01343498,0.0008865275,0.3087652,0.0002363394,0.0001101312,0.00000606177,0.003329103,0.4295782,0.002659803,0.0437814,0.194883,0.002329206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342403,0.000005043404,0.00857674,0.003726344,0.05184037,0.0005121233,0.00004267749,0.00001387385,0.001042493],"genre_scores_gemma":[0.9137719,0.000002863313,0.01814962,0.0007124348,0.06686568,0.00002018185,0.00007004158,0.00002220749,0.0003850218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7552587,"threshold_uncertainty_score":0.5303174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213504250310601,"score_gpt":0.3141636123888664,"score_spread":0.2920285698857604,"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."}}