{"id":"W4362575284","doi":"10.22215/etd/2022-15343","title":"Clinical Model for Cerebral Vasospasm Prediction","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"University of Ottawa","keywords":"Vasospasm; Segmentation; Artificial intelligence; Medicine; Robustness (evolution); Radiology; Computer science; Pattern recognition (psychology); Subarachnoid hemorrhage; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001688952,0.000963256,0.0006145032,0.001073982,0.0003715389,0.001121432,0.00114703,0.001470403,0.003116353],"category_scores_gemma":[0.005787609,0.0002928262,0.0008718229,0.0004834862,0.0004259097,0.0007262123,0.0004240324,0.001334571,0.001389046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099404,"about_ca_system_score_gemma":0.001231684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112472,"about_ca_topic_score_gemma":0.007672696,"domain_scores_codex":[0.9992856,0.0001821481,0.00005637607,0.000224164,0.0001631489,0.00008850477],"domain_scores_gemma":[0.9970734,0.001662387,0.000224297,0.0001261908,0.0008160213,0.00009767908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009044206,0.00082748,0.0382986,0.0001690537,0.0001851454,0.0005675465,0.000162219,0.7593486,0.007932445,0.005165298,0.01012885,0.1763102],"study_design_scores_gemma":[0.00001360414,0.00008592943,0.002445222,0.000009771635,0.00002122862,0.00006383621,0.000008924223,0.9945961,0.0007608248,0.001446245,0.0005370502,0.00001134114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3922961,0.001201963,0.5805688,0.004308121,0.0004995795,0.000868671,0.003771037,0.003717013,0.01276872],"genre_scores_gemma":[0.9282447,0.0002340411,0.06344306,0.0004288323,0.0001209207,0.0003778049,0.001975608,0.00006953702,0.005105426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112472,"threshold_uncertainty_score":0.02236342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04629334768045279,"score_gpt":0.3590600241051644,"score_spread":0.3127666764247116,"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."}}