{"id":"W4413513173","doi":"10.47611/jsrhs.v13i3.7733","title":"Advancing Brain Tumor Diagnosis through Machine Learning: A Comparative Study","year":2024,"lang":"en","type":"article","venue":"Journal of Student Research","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Brain tumor; Computer science; Artificial intelligence; Medicine; Pathology","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":[0.006172291,0.0006338433,0.0006852986,0.002552983,0.0003540035,0.0009970223,0.0006531784,0.0009072765,0.001227284],"category_scores_gemma":[0.01588139,0.0001355174,0.001083068,0.001610496,0.0004717285,0.001572616,0.0005607196,0.0006566725,0.0004268442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027398,"about_ca_system_score_gemma":0.000520124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003321501,"about_ca_topic_score_gemma":0.0032642,"domain_scores_codex":[0.9975569,0.001247002,0.0002197355,0.0002852984,0.0005792616,0.0001117754],"domain_scores_gemma":[0.9867092,0.009867524,0.0004407473,0.0006272093,0.002068799,0.000286509],"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":[0.009775982,0.005815513,0.2681275,0.002561522,0.0029849,0.0008875415,0.0008876036,0.04040997,0.003692442,0.002730506,0.00724276,0.6548839],"study_design_scores_gemma":[0.001099171,0.02403102,0.4374108,0.001362394,0.004600286,0.003767147,0.003511582,0.473794,0.01609292,0.00854674,0.02549302,0.0002909612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607515,0.0188219,0.01240604,0.000878359,0.0002104848,0.00028046,0.0007566052,0.0001449532,0.00574961],"genre_scores_gemma":[0.9851786,0.004388153,0.008392513,0.0001279332,0.0001297393,0.00007540569,0.001010689,0.00002777679,0.0006691538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006172291,"threshold_uncertainty_score":0.03264254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.26929167712774,"score_gpt":0.503526441615957,"score_spread":0.234234764488217,"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."}}