{"id":"W1981200853","doi":"10.4018/jhisi.2012010105","title":"Biomedical Image Processing","year":2012,"lang":"en","type":"article","venue":"International Journal of Healthcare Information Systems and Informatics","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Image processing; Image (mathematics); Computer vision","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":[0.0007927159,0.00009166011,0.0001450622,0.0003884282,0.0001089591,0.0003054183,0.0002083833,0.00007153147,0.00001014375],"category_scores_gemma":[0.0004367647,0.00007166891,0.000043131,0.0001564006,0.00007153979,0.006176575,0.00003527764,0.0002194899,0.00005396942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154466,"about_ca_system_score_gemma":0.0001119702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112067,"about_ca_topic_score_gemma":1.597847e-7,"domain_scores_codex":[0.9976628,0.00005695314,0.001292279,0.00002774822,0.0007848133,0.000175433],"domain_scores_gemma":[0.9977533,0.00007210816,0.001269233,0.00006817153,0.0006221565,0.0002150274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003434972,0.0002916728,0.004968894,0.001686891,0.0000734712,0.00001053387,0.05871752,0.00008208404,0.006956744,0.1341326,0.008538134,0.7841979],"study_design_scores_gemma":[0.001630188,0.0002505804,0.003808428,0.0004440743,0.00001464264,0.007163553,0.02642851,0.02109336,0.004406231,0.0001371343,0.9343086,0.0003147263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6836935,0.001399796,0.2305417,0.02350935,0.02653398,0.001278484,0.0001919964,0.0002978057,0.03255342],"genre_scores_gemma":[0.9970896,0.0001446142,0.0008546351,0.001486117,0.0003943194,0.000004401544,0.000006272191,0.00000373581,0.00001628488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9257705,"threshold_uncertainty_score":0.4477867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03731670129094441,"score_gpt":0.3265618015628014,"score_spread":0.289245100271857,"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."}}