{"id":"W4410241868","doi":"10.18280/mmep.120424","title":"Document Recognition in Education Sector Using Machine Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Computer science; Machine learning; Artificial intelligence; Algorithm; Pattern recognition (psychology)","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":[0.001100045,0.0007977429,0.001029286,0.004925349,0.0005664412,0.001901515,0.001043249,0.001178706,0.002859091],"category_scores_gemma":[0.004464208,0.0002331679,0.001004358,0.004420302,0.0003181211,0.00162655,0.0005687146,0.0008825,0.004037907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207724,"about_ca_system_score_gemma":0.0009624835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004514505,"about_ca_topic_score_gemma":0.002884164,"domain_scores_codex":[0.9983918,0.0002385716,0.0002905404,0.000441483,0.0005104649,0.0001270716],"domain_scores_gemma":[0.9978047,0.0008369359,0.000298023,0.0003029394,0.0006968891,0.00006049278],"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":[0.0001278835,0.0001496097,0.004239015,0.0002243655,0.00006016182,0.0001796576,0.00007585088,0.02091149,0.01174271,0.001643376,0.0051216,0.9555243],"study_design_scores_gemma":[0.00004158836,0.0001994826,0.0112858,0.00009673477,0.00006493678,0.0009348271,0.0002501533,0.9166967,0.04631801,0.007030654,0.01700356,0.00007755042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07080918,0.003480948,0.9058728,0.0006042665,0.0004139283,0.0004223785,0.002657143,0.01085654,0.004882861],"genre_scores_gemma":[0.2932591,0.001480952,0.6959897,0.0001674155,0.0001946823,0.0002691909,0.003818465,0.000109062,0.004711547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004925349,"threshold_uncertainty_score":0.009564579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131952228771449,"score_gpt":0.2586925926538027,"score_spread":0.2073730703660882,"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."}}