{"id":"W2885392053","doi":"10.5539/cis.v11n3p89","title":"Design and Implementation of China HowNet Knowledge Map Generation Module Literature","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Field (mathematics); Visualization; Information retrieval; Enlightenment; Knowledge extraction; Data science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003498934,0.00007747978,0.0000711861,0.0002106527,0.0002839546,0.0003247493,0.0002902935,0.00002285491,0.000002112618],"category_scores_gemma":[0.000004063797,0.00006759664,0.00001006713,0.0006457805,0.0001953951,0.005884551,0.0002214135,0.00004030731,0.000005174111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001690421,"about_ca_system_score_gemma":0.0000681626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000224271,"about_ca_topic_score_gemma":2.933825e-7,"domain_scores_codex":[0.9992933,0.0000172256,0.0002248683,0.0001747855,0.0001734009,0.0001163634],"domain_scores_gemma":[0.9992389,0.00001971086,0.000120403,0.0001804767,0.0003809029,0.00005961433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001888312,0.00001482143,0.00005351014,0.00002499931,0.000002727505,7.576266e-8,0.006798701,0.0007102679,0.002481776,0.4200355,0.001158963,0.5687168],"study_design_scores_gemma":[0.0001588802,0.0001590488,0.007282812,0.00001486602,0.00000127838,0.00001318996,0.0000121301,0.9681488,0.0139911,0.006259005,0.003860044,0.00009890828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01221212,0.00005160168,0.9868075,0.0003416288,0.0001165341,0.0002207591,0.000002590538,0.00005767866,0.0001895784],"genre_scores_gemma":[0.5452985,0.00003221631,0.4544109,0.0001782562,0.00005575631,0.00001196347,0.000007266643,0.000001135756,0.000004001062],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9674385,"threshold_uncertainty_score":0.4266157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774687199799569,"score_gpt":0.3135935213555093,"score_spread":0.2958466493575136,"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."}}