{"id":"W2185858330","doi":"10.1109/icebe.2010.89","title":"SOKMBI 2010 Chairs and Program Committee","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Management; IBM; Engineering; Media studies; Political science; Sociology; Law","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":[0.0002475984,0.00009900744,0.0001106532,0.00003599113,0.0001139397,0.0003045984,0.000564098,0.00006681983,0.00001808454],"category_scores_gemma":[0.00001211394,0.00007976202,0.00002979629,0.0001552715,0.00005155674,0.000165319,0.0002148923,0.0002012318,0.00008879657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002620699,"about_ca_system_score_gemma":0.00002244165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007803774,"about_ca_topic_score_gemma":0.00005104872,"domain_scores_codex":[0.9992222,0.0000233334,0.0001337556,0.0002554875,0.000133865,0.0002313634],"domain_scores_gemma":[0.9993054,0.00004720242,0.00004043526,0.000446525,0.00004403882,0.0001164416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002666533,0.0002608135,0.01369719,0.00003707787,0.00002893752,0.00002187483,0.0006862301,0.00001685513,0.001215053,0.4226318,0.08061662,0.4807849],"study_design_scores_gemma":[0.00093497,0.0003243134,0.05222649,0.00003402506,0.000006493581,0.0002743215,0.00005095896,0.2570575,0.0005376777,0.00762514,0.6802049,0.0007232427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.343019,0.0001642282,0.5351672,0.006737495,0.005931883,0.0008433307,0.000005201555,0.002974856,0.1051568],"genre_scores_gemma":[0.9556881,0.000001725403,0.04210951,0.0001560106,0.0001088184,0.00001178764,0.000002785039,0.000004462993,0.001916755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6126692,"threshold_uncertainty_score":0.32526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101438511955692,"score_gpt":0.2491809351809609,"score_spread":0.238166550061404,"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."}}