{"id":"W4249194360","doi":"10.1017/cjn.2019.134","title":"P.034 Evaluation of modeling software for deployment of Pipeline stents in the endovascular treatment of intracranial aneurysms","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton","funders":"","keywords":"Software deployment; Pipeline (software); Workstation; Stent; Embolization; Medicine; Radiology; Software; Computer science; Medical physics; Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004975431,0.0006842437,0.0002846371,0.001085058,0.0002538948,0.001424342,0.0009020297,0.000400764,0.004305723],"category_scores_gemma":[0.02007441,0.0003802998,0.0005884385,0.0005261154,0.0002649053,0.0006947833,0.0006827599,0.0003225337,0.0009053197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005705614,"about_ca_system_score_gemma":0.001051484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00829873,"about_ca_topic_score_gemma":0.005440764,"domain_scores_codex":[0.9983802,0.0006143276,0.0001819411,0.0001544707,0.0006141242,0.00005495813],"domain_scores_gemma":[0.9885744,0.008131557,0.000647363,0.0005142005,0.001951924,0.0001805542],"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":[0.005290795,0.001376559,0.2229157,0.0006690351,0.0005117774,0.001111668,0.002340593,0.1675648,0.02082564,0.002722157,0.01210102,0.5625702],"study_design_scores_gemma":[0.0001843092,0.001230777,0.03762443,0.0001348782,0.0002092334,0.000658132,0.0002929984,0.935567,0.01626745,0.0006523164,0.007113797,0.00006477207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256842,0.0003405029,0.1466756,0.0003927831,0.0001276141,0.0007403544,0.001647613,0.01607965,0.008311666],"genre_scores_gemma":[0.8798103,0.0002326706,0.1152081,0.0000534032,0.00002319883,0.0002382866,0.00120961,0.001304616,0.001919703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00829873,"threshold_uncertainty_score":0.02631295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06752597037311983,"score_gpt":0.304924042461639,"score_spread":0.2373980720885192,"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."}}