{"id":"W4352976831","doi":"10.1007/978-3-031-28183-9","title":"Advanced Network Technologies and Intelligent Computing","year":2023,"lang":"en","type":"book","venue":"Communications in computer and information science","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Kalinga Institute of Industrial Technology; Hong Kong Polytechnic University; Motilal Nehru National Institute of Technology Allahabad; Delhi Technological University; Defence Research and Development Organisation; Netaji Subhas University of Technology","keywords":"Computer science; Analytics; Data science; Big data; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002911382,0.00150142,0.0007850362,0.001757751,0.0006169751,0.002670253,0.0007144561,0.001067113,0.04928691],"category_scores_gemma":[0.00106403,0.00039543,0.0003037146,0.00268347,0.0009098662,0.003307845,0.001001804,0.00216981,0.03478886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009962081,"about_ca_system_score_gemma":0.0006879055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328232,"about_ca_topic_score_gemma":0.002970182,"domain_scores_codex":[0.9997016,0.0000369994,0.000009747267,0.00003883858,0.0001950188,0.00001781174],"domain_scores_gemma":[0.9995987,0.0001953274,0.00001709412,0.00005081095,0.0001061758,0.0000319411],"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":[0.00001686666,0.00002680805,0.00007281142,0.0002876495,0.00001243065,0.00006389421,0.00009278273,0.002214459,0.001294516,0.1835116,0.4769993,0.3354069],"study_design_scores_gemma":[0.000002415755,0.00001362963,0.0001238477,0.0001243788,0.000005444321,0.0001118468,0.00002373776,0.002142983,0.0002955631,0.06316228,0.933987,0.000007008537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006417069,0.04916912,0.07845056,0.003400003,0.006594793,0.00008182698,0.0003227979,0.0007914189,0.8605479],"genre_scores_gemma":[0.005325716,0.02792171,0.02093824,0.00114228,0.00239426,0.0001086748,0.0002815147,0.0003386223,0.9415489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04928691,"threshold_uncertainty_score":0.1648812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06814844675642116,"score_gpt":0.3180885655894477,"score_spread":0.2499401188330265,"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."}}