{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007886409,0.001688082,0.001259054,0.002378296,0.002707204,0.008879618,0.002168213,0.003237986,0.2862661],"category_scores_gemma":[0.008113042,0.0006006262,0.001107855,0.002029735,0.0006518721,0.003438463,0.002872061,0.003462947,0.365061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004146159,"about_ca_system_score_gemma":0.01118632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005417652,"about_ca_topic_score_gemma":0.008568795,"domain_scores_codex":[0.9961234,0.0005499331,0.0002105903,0.0007550218,0.001749314,0.000611827],"domain_scores_gemma":[0.9854976,0.0003182915,0.0003209292,0.0004819589,0.008003538,0.005377586],"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":[0.00004691488,0.00003332364,0.0001418152,0.0001195432,0.00000410508,0.0000189796,0.00001990032,0.00007997624,0.0002816439,0.001419819,0.9575858,0.04024823],"study_design_scores_gemma":[0.000009207728,0.0000200547,0.0003013723,0.00007695689,0.00000369547,0.00001901239,0.00003687228,0.0001227686,0.0001465479,0.000395849,0.9988612,0.00000640325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002766355,0.01793455,0.01603624,0.09345618,0.2462106,0.004812121,0.01608837,0.004330083,0.5983656],"genre_scores_gemma":[0.005322958,0.008723439,0.005425553,0.00577822,0.02133343,0.001954162,0.0122385,0.00143942,0.9377844],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7137339,"threshold_uncertainty_score":0.9576554,"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."}}