{"id":"W3000765768","doi":"10.1007/s11042-020-08672-5","title":"Special issue on video and imaging systems for critical engineering applications [SI 1096]","year":2020,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Artificial intelligence; Multimedia; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007250495,0.0001313731,0.0001341265,0.00004663653,0.0003064688,0.0002090075,0.000112878,0.00004541705,0.00002687622],"category_scores_gemma":[0.0004589439,0.0001349624,0.00003162663,0.0001997106,0.0001105555,0.0001372839,0.00003020125,0.0001298076,0.00007953324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001924726,"about_ca_system_score_gemma":0.0000136535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002176803,"about_ca_topic_score_gemma":3.157977e-7,"domain_scores_codex":[0.998974,0.00001963278,0.0002167158,0.0004848667,0.0001194984,0.0001853481],"domain_scores_gemma":[0.9986801,0.0008389696,0.00005004662,0.0001740028,0.00004104844,0.0002158458],"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":[0.00005122156,0.0001946764,0.0001093097,0.0003645332,0.000009044734,0.000001636813,0.0006198484,0.000255608,0.2598446,0.1910821,0.0112852,0.5361822],"study_design_scores_gemma":[0.0003180274,0.00002722837,0.0004685602,0.00001042785,0.00001511463,0.00001001968,0.0001376178,0.1461127,0.007208597,0.0001486019,0.8453749,0.0001682727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002457644,0.0005192229,0.9280303,0.04566386,0.0008523287,0.00862982,0.001142485,0.001023091,0.01168126],"genre_scores_gemma":[0.95469,0.0003048851,0.006567547,0.004281435,0.02043206,0.01317008,0.00007375136,0.00009248246,0.0003877763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9522324,"threshold_uncertainty_score":0.5503607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042890798514728,"score_gpt":0.2822195929555805,"score_spread":0.2417906849704332,"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."}}