{"id":"W4388343734","doi":"10.1007/978-3-031-45705-0_14","title":"Design, Analysis, and Optimization of a Novel Stent Retriever for Acute Ischemic Stroke","year":2023,"lang":"en","type":"book-chapter","venue":"Mechanisms and machine science","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stent; Labrador Retriever; Medicine; Flexibility (engineering); Surgery; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004120563,0.0001610162,0.0003783983,0.0004522309,0.0001023754,0.00002739229,0.00008658253,0.00009046978,0.00006745747],"category_scores_gemma":[0.00008701724,0.0001334982,0.0001285142,0.0001872371,0.0001500738,0.00006326097,0.0001264632,0.00009426749,5.98703e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002473795,"about_ca_system_score_gemma":0.00009181011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001911081,"about_ca_topic_score_gemma":0.000009319757,"domain_scores_codex":[0.9989272,0.000002476972,0.0002659805,0.0003756481,0.0002844658,0.000144216],"domain_scores_gemma":[0.9992079,0.00008372273,0.0001706762,0.0002044123,0.0002220629,0.0001112903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001723391,0.0008146982,0.000187841,0.001510383,0.006692381,0.0001161404,0.0005810696,0.01588233,0.2920188,0.6257848,0.001677589,0.05301053],"study_design_scores_gemma":[0.004589402,0.004393047,0.0004614174,0.0008933315,0.0148102,0.0001398142,0.00006780591,0.9480626,0.01810949,0.006035046,0.001658186,0.0007796555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001855016,0.0002055596,0.9967793,0.0001292685,0.0001075339,0.0005300836,0.00042048,0.00002251259,0.001619814],"genre_scores_gemma":[0.02704089,0.002794234,0.6221971,0.0002136831,0.00005864634,0.00004705002,0.0003646742,0.00007290745,0.3472108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9321803,"threshold_uncertainty_score":0.54439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624705594768056,"score_gpt":0.2916666134253341,"score_spread":0.2554195574776535,"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."}}