{"id":"W4411355303","doi":"10.23977/jeis.2025.100118","title":"Hybrid Novel Machine Learning and Computer Vision Research","year":2025,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Human–computer interaction; Computer vision","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":[0.002344192,0.00004353516,0.00006808469,0.0005943869,0.0005297718,0.0003648954,0.000148754,0.0000154595,0.000003632239],"category_scores_gemma":[0.0006855346,0.00003422659,0.00001389741,0.0007243627,0.000263125,0.002739486,0.0000709435,0.0003912805,0.000002338935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007215274,"about_ca_system_score_gemma":0.0002231571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001114627,"about_ca_topic_score_gemma":3.475819e-7,"domain_scores_codex":[0.9989906,0.00004272534,0.0002703854,0.00008541708,0.0004411172,0.0001697302],"domain_scores_gemma":[0.9992403,0.0001448311,0.0001771229,0.00005347256,0.0003235926,0.00006061504],"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":[0.00008494026,0.0000397348,0.0001875875,0.00002489431,0.000001827404,8.435103e-7,0.0003318691,0.0001279198,0.5911322,0.2146389,0.0003561313,0.1930732],"study_design_scores_gemma":[0.0008532254,0.000905494,0.006491809,0.00005956532,0.000003907609,0.0004887646,0.0001161403,0.4822052,0.2088652,0.002061159,0.2978448,0.000104703],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399526,0.0002786906,0.04950654,0.003221905,0.0003024529,0.000126122,0.000001174106,0.00001646896,0.006594047],"genre_scores_gemma":[0.9982554,0.0009064203,0.0002775051,0.0004714465,0.00001565153,5.725225e-7,1.571062e-7,0.000001096306,0.00007175528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4820773,"threshold_uncertainty_score":0.407463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900758313803094,"score_gpt":0.3416982320612773,"score_spread":0.3126906489232464,"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."}}