{"id":"W4298009653","doi":"10.18280/ts.390430","title":"A Novel Fusion Approach to Detect Brain Tumor Using Machine Learning for MRI Images","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Segmentation; Novelty; Support vector machine; Pattern recognition (psychology); Feature extraction; Image segmentation; Artificial neural network; Machine learning","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":[0.0006593901,0.0001632179,0.0001467131,0.0001977193,0.000987225,0.00008232238,0.0002561939,0.00001755774,0.0003905647],"category_scores_gemma":[0.0001896613,0.0001693552,0.0000966008,0.0004696074,0.00003478262,0.0001065755,0.000126614,0.0002428397,0.00000679072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158308,"about_ca_system_score_gemma":0.00003458309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000316139,"about_ca_topic_score_gemma":0.000002503205,"domain_scores_codex":[0.998235,0.0001977543,0.0002766956,0.0005417488,0.0004325189,0.0003162538],"domain_scores_gemma":[0.9993871,0.0001988917,0.0001418308,0.0001403837,0.00002741298,0.0001043781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001722907,0.0001646889,0.00002698696,0.00001962928,0.000003293257,0.000001902366,0.0002934265,0.02128317,0.9731194,0.0003381918,0.0003267492,0.004250221],"study_design_scores_gemma":[0.001543974,0.0005708234,0.0005602743,0.000007544034,0.00001808414,0.0001542748,0.0003967548,0.5690231,0.392703,0.00009245594,0.03460749,0.0003222636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2573192,0.00001488167,0.7388809,0.001167184,0.0002210408,0.001301657,0.000114379,0.0002269391,0.0007538379],"genre_scores_gemma":[0.9882329,5.845031e-7,0.008198537,0.002439594,0.0001071967,0.0004214325,0.00001650477,0.00003746951,0.0005457614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7309138,"threshold_uncertainty_score":0.7593036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05784443938428132,"score_gpt":0.2752272804402687,"score_spread":0.2173828410559873,"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."}}