{"id":"W6992854740","doi":"","title":"Modelling Polymer Balloons for Angioplasty : from Fabrication to Deployment","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Fabrication; Angioplasty; Key (lock); Balloon","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":[0.0007148113,0.0004262774,0.0005156332,0.0002878384,0.0004531757,0.001378913,0.0007688272,0.00157468,0.006115638],"category_scores_gemma":[0.002419641,0.0007699156,0.0004833134,0.0002644206,0.0006183815,0.001451989,0.0004331958,0.0005393333,0.002477805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495011,"about_ca_system_score_gemma":0.0006932965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007118057,"about_ca_topic_score_gemma":0.0009627842,"domain_scores_codex":[0.9995152,0.00008830899,0.000021293,0.00007253853,0.0002588118,0.00004391242],"domain_scores_gemma":[0.9993273,0.0002721291,0.00008512441,0.000143805,0.0001511413,0.00002041303],"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":[0.0003446172,0.0001338644,0.003367999,0.001718607,0.00007189367,0.001059634,0.0006090924,0.4961566,0.3547716,0.02902825,0.007409693,0.1053282],"study_design_scores_gemma":[0.00008636819,0.0009780077,0.00506519,0.0002251508,0.0001086392,0.00125964,0.000356409,0.6423521,0.2733671,0.01124429,0.06480892,0.0001482313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5089486,0.005110494,0.3893528,0.002613796,0.001043147,0.0004796897,0.001081876,0.001895398,0.08947434],"genre_scores_gemma":[0.8796331,0.003328802,0.09241657,0.0001104283,0.00007825408,0.0001298447,0.0003215036,0.0005222352,0.02345928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006115638,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137411181679269,"score_gpt":0.2845708713524671,"score_spread":0.2531967595356744,"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."}}