{"id":"W3112503055","doi":"10.18280/ts.370520","title":"Image Based Group Classifier for Brain Tumor Detection Using Machine Learning Technique","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain tumor; Convolutional neural network; Artificial intelligence; Classifier (UML); Magnetic resonance imaging; Computer science; Human brain; Segmentation; Medicine; Pathology; Psychology; Neuroscience; Radiology","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":[0.0004133492,0.0001939981,0.0001626446,0.0001120799,0.000398176,0.000107732,0.0001664727,0.00005727639,0.0003838943],"category_scores_gemma":[0.0004203443,0.000197178,0.0001301816,0.0003864865,0.00007922581,0.0002263754,0.00002347019,0.0002829389,0.00002087506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040074,"about_ca_system_score_gemma":0.00003515151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009799738,"about_ca_topic_score_gemma":0.000006982514,"domain_scores_codex":[0.9983165,0.0002618447,0.0003310399,0.0005245002,0.000281534,0.0002845816],"domain_scores_gemma":[0.9992595,0.0002514016,0.0001959305,0.0001091849,0.00004292472,0.0001410503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002158115,0.00006503362,0.00004944219,0.00005221876,0.000002969769,0.000006029995,0.00006649352,0.0002235888,0.9959646,0.0002166841,0.0000649545,0.003072163],"study_design_scores_gemma":[0.0006480287,0.0002937779,0.000136582,0.000009074421,0.00001042946,0.00001160911,0.00003198991,0.4583969,0.5318431,0.00004877636,0.008430849,0.0001389204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08406691,0.000004579572,0.9115922,0.002466695,0.0001059788,0.001083217,0.00002681102,0.0004090104,0.0002445971],"genre_scores_gemma":[0.9885779,5.710774e-7,0.006260653,0.004585981,0.0002038494,0.0002757387,0.00001214766,0.00004476272,0.00003837141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9053316,"threshold_uncertainty_score":0.8040686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05781371642069096,"score_gpt":0.2741729132176208,"score_spread":0.2163591967969299,"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."}}