{"id":"W4205551555","doi":"10.18280/ts.380621","title":"Image Segmentation for Review of Cerebral Apoplexy","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Artificial intelligence; Feature (linguistics); Computer science; Pattern recognition (psychology); Computer vision; Image segmentation; Lesion; Process (computing); Feature selection; Medicine; Pathology","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":[0.0008537483,0.0005128945,0.0005676046,0.005487703,0.0003474072,0.0008698012,0.0005869105,0.0006627609,0.003088265],"category_scores_gemma":[0.002946164,0.000218096,0.0005452462,0.002778085,0.0004714093,0.0008711253,0.0003458867,0.0004023575,0.00182279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004989471,"about_ca_system_score_gemma":0.001016082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428523,"about_ca_topic_score_gemma":0.001906219,"domain_scores_codex":[0.9993547,0.0001481574,0.0001024373,0.00009397319,0.0002698378,0.00003086776],"domain_scores_gemma":[0.9984255,0.0003326304,0.0002101783,0.0001176376,0.0008422065,0.00007188041],"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":[0.0002527678,0.0000303231,0.00186009,0.005756829,0.0001048831,0.001596718,0.0004683477,0.001525606,0.1117307,0.003411398,0.04117586,0.8320864],"study_design_scores_gemma":[0.00006491005,0.0004908009,0.03179259,0.002042795,0.000478481,0.01962333,0.0008229392,0.01764689,0.1285792,0.007182046,0.7910777,0.0001985285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07529018,0.2996999,0.5668308,0.008098463,0.005480394,0.001226656,0.002055335,0.004453214,0.0368651],"genre_scores_gemma":[0.3199233,0.181959,0.4554553,0.002344697,0.003766707,0.0006177449,0.003018261,0.001043346,0.03187167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005487703,"threshold_uncertainty_score":0.01033127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277989515974842,"score_gpt":0.3493189641728802,"score_spread":0.321520012575396,"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."}}