{"id":"W1546393105","doi":"10.1007/978-3-540-39903-2_52","title":"PUPIL: Programmable Ultrasound Platform and Interface Library","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interface (matter); Visibility; Software; Pipeline (software); Computer science; Flexibility (engineering); Ultrasound; Computer vision; Ranging; Computer hardware; Artificial intelligence; Acoustics; Optics; Physics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005247176,0.00152027,0.001134031,0.001511092,0.0005537355,0.002159497,0.002686361,0.001098036,0.3396679],"category_scores_gemma":[0.001500441,0.001100509,0.0007235,0.001236868,0.0002388831,0.003341008,0.00263,0.001574413,0.2493005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622646,"about_ca_system_score_gemma":0.0006293398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004977016,"about_ca_topic_score_gemma":0.0006777175,"domain_scores_codex":[0.9996104,0.00003252478,0.00003003573,0.00007793842,0.0002085923,0.0000405859],"domain_scores_gemma":[0.999511,0.0001343713,0.00002510199,0.0001200289,0.000143355,0.0000661676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003202122,0.00009292411,0.0002357148,0.000760999,0.00002862653,0.0002119546,0.0001822797,0.0005791601,0.02764962,0.01391762,0.4779702,0.4780506],"study_design_scores_gemma":[0.0001141625,0.0001222819,0.0008070535,0.00020996,0.0000570165,0.001318044,0.00005097759,0.007148922,0.03507751,0.007247827,0.9477606,0.00008574052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002162568,0.001721096,0.6433811,0.0003256843,0.0004592324,0.0003647173,0.005236156,0.1908876,0.1554618],"genre_scores_gemma":[0.02457578,0.003553882,0.2106238,0.001191527,0.0004345095,0.0009835457,0.01347597,0.0556247,0.6895362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3396679,"threshold_uncertainty_score":0.9418837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138051789676382,"score_gpt":0.2362940940900763,"score_spread":0.2249135761933125,"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."}}