{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001352548,0.000716099,0.0009771693,0.001850623,0.0002998987,0.001531912,0.001182786,0.001384414,0.001488385],"category_scores_gemma":[0.002376859,0.0003250643,0.00100547,0.001623884,0.0008362589,0.002447045,0.0006477377,0.001173177,0.0006366361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020342,"about_ca_system_score_gemma":0.0006685503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568158,"about_ca_topic_score_gemma":0.0009430004,"domain_scores_codex":[0.9988041,0.0002186541,0.00007213137,0.0003288083,0.0004768868,0.00009943825],"domain_scores_gemma":[0.9988838,0.0005253654,0.0000730532,0.0001223529,0.000351602,0.00004386071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001219142,0.0002685367,0.002600824,0.0008700324,0.0003618181,0.0002124393,0.0001563073,0.05958342,0.0129105,0.08769967,0.005183084,0.8300314],"study_design_scores_gemma":[0.00002616852,0.0002836393,0.002360668,0.0001215059,0.00009053975,0.0005880732,0.00008439764,0.8888152,0.0144265,0.06107606,0.03205767,0.00006964968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01521577,0.0255384,0.9453781,0.001091747,0.0006160048,0.00005042804,0.00004763374,0.0005911532,0.01147074],"genre_scores_gemma":[0.5544268,0.02966862,0.397862,0.001226251,0.001578515,0.0002177251,0.000288736,0.0001539174,0.01457749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001850623,"threshold_uncertainty_score":0.007403135,"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."}}