{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003084291,0.0001197901,0.0002462248,0.0004204499,0.0003943172,0.0004041005,0.0004692264,0.00002288939,0.0002513089],"category_scores_gemma":[0.001405319,0.00008960762,0.0001071856,0.001208901,0.000130484,0.0004486685,0.0001568423,0.001613106,0.0001364082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716391,"about_ca_system_score_gemma":0.0001379111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001747,"about_ca_topic_score_gemma":0.00003179083,"domain_scores_codex":[0.9955721,0.001452379,0.0004843224,0.0003144932,0.001831695,0.0003449785],"domain_scores_gemma":[0.9968486,0.002468767,0.0001417719,0.0001532134,0.0002629349,0.0001247177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008918032,0.01044138,0.1723533,0.0002861308,0.0003788177,0.007410081,0.1373991,0.001164653,0.5788924,0.008258029,0.06114676,0.02137755],"study_design_scores_gemma":[0.004185271,0.01621421,0.1209373,0.0007936835,0.00009179679,0.001620246,0.1445847,0.007134301,0.2223077,0.00225886,0.4791293,0.0007426958],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899393,0.0006201642,0.0003031101,0.005468475,0.0004511893,0.0004525954,0.000001934641,0.00004781692,0.002715471],"genre_scores_gemma":[0.9980344,0.0001903368,0.00005162779,0.0001496056,0.0002394702,0.00004771504,1.787521e-7,0.00001730141,0.00126932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4179825,"threshold_uncertainty_score":0.7008232,"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."}}