{"id":"W4413696188","doi":"10.33899/csmj.2025.156050.1159","title":"Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept","year":2025,"lang":"en","type":"article","venue":"Maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/Al-Rafidain journal for computer sciences and mathematics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"University of Mosul","keywords":"Computer science; Parallel processing; Artificial intelligence; Machine learning; Parallel computing; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008928359,0.00073431,0.0007060907,0.000770942,0.0004308671,0.001157573,0.001211503,0.0004671822,0.003608038],"category_scores_gemma":[0.003182984,0.0003071472,0.0006085244,0.001124037,0.0003353952,0.001430075,0.000548354,0.0008136155,0.001515422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000576259,"about_ca_system_score_gemma":0.001423726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003269027,"about_ca_topic_score_gemma":0.002657798,"domain_scores_codex":[0.9991174,0.0001342386,0.00008115828,0.0002390631,0.0003430174,0.0000850903],"domain_scores_gemma":[0.998789,0.0005275051,0.00009852096,0.0002282991,0.0003212476,0.00003544262],"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":[0.0007513461,0.0002629858,0.003360297,0.0003529069,0.000155887,0.0002117461,0.0002179062,0.09633052,0.05071657,0.007097261,0.007810246,0.8327323],"study_design_scores_gemma":[0.00006560763,0.0002115684,0.002198544,0.00002528493,0.00005367787,0.0001961701,0.00005767358,0.9326327,0.04929726,0.006237205,0.008989044,0.00003532643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0537686,0.0005316027,0.9308754,0.0002605034,0.0001518477,0.000217782,0.0001808382,0.009388395,0.004625027],"genre_scores_gemma":[0.3573814,0.0004902948,0.6371905,0.0001321495,0.00006607924,0.0004386667,0.0006646047,0.0004508835,0.003185434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003608038,"threshold_uncertainty_score":0.01207012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06096180423327558,"score_gpt":0.3258892307981822,"score_spread":0.2649274265649066,"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."}}