{"id":"W6931417871","doi":"10.5281/zenodo.5149630","title":"A Knowledge Mapping with Trends, Emerging Scenario & Future possibilities for creating a True Digital India","year":2021,"lang":"en","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Intraperitoneal and Appendiceal Malignancies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Bielefeld; Simon Fraser University","keywords":"Field (mathematics); Emerging technologies; Key (lock); Knowledge production; Knowledge base; Digital transformation; Knowledge-based systems","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003969467,0.0005539086,0.0003952101,0.004928709,0.003281541,0.01205025,0.001092166,0.001988877,0.01519174],"category_scores_gemma":[0.005246988,0.0003562491,0.0008309037,0.008701219,0.002981627,0.0196701,0.005976575,0.002803555,0.005172489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003611791,"about_ca_system_score_gemma":0.01203305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684107,"about_ca_topic_score_gemma":0.007216898,"domain_scores_codex":[0.9985657,0.0004618007,0.0001069359,0.0001842462,0.0004671979,0.0002140812],"domain_scores_gemma":[0.9957978,0.001321986,0.0003166525,0.0004593101,0.00141324,0.0006911619],"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":[0.0000427148,0.0001163231,0.002558808,0.001084351,0.00004592871,0.0006697362,0.00924213,0.001230103,0.001740179,0.3395151,0.205414,0.4383406],"study_design_scores_gemma":[0.000004841562,0.00002698777,0.002372463,0.00100993,0.00003137459,0.0005239717,0.01900529,0.0008209411,0.0009112643,0.1163454,0.8589097,0.00003768673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02749028,0.04210743,0.1198664,0.2696284,0.005948564,0.0005172507,0.003058857,0.001191439,0.5301914],"genre_scores_gemma":[0.3512995,0.1142835,0.2795399,0.0172632,0.00321528,0.0005334241,0.006500808,0.0006911661,0.2266734],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01519174,"threshold_uncertainty_score":0.05082142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084471336903592,"score_gpt":0.262327679592242,"score_spread":0.241482966223206,"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."}}