{"id":"W4312800958","doi":"10.1007/978-3-031-12023-7_7","title":"Biopsy and Drainage","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Percutaneous; Radiology; Biopsy; Gold standard (test); Drainage; Fine-needle aspiration; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.0004992813,0.0009324859,0.0007726549,0.001797405,0.00113073,0.002089863,0.0008674369,0.002305574,0.05022506],"category_scores_gemma":[0.001209937,0.0005788901,0.0006574512,0.0008226124,0.002063681,0.002302594,0.001467283,0.003957963,0.03300465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005696855,"about_ca_system_score_gemma":0.0009437613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238602,"about_ca_topic_score_gemma":0.003940068,"domain_scores_codex":[0.9997237,0.00004977494,0.00001460518,0.0000552518,0.0001278283,0.00002863289],"domain_scores_gemma":[0.9997466,0.0001144071,0.00001048969,0.00004210461,0.00004840437,0.00003803058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006498178,0.00006521421,0.0003260897,0.0005833132,0.00001817191,0.002037632,0.000319361,0.0004721727,0.005871502,0.06086815,0.2818079,0.6475655],"study_design_scores_gemma":[0.00000322444,0.00002364963,0.0003494009,0.0002137804,0.000008300359,0.007939884,0.00007457461,0.0001274336,0.001003577,0.02280815,0.9674337,0.00001417136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00234817,0.1315796,0.05295273,0.01052569,0.01307184,0.0001588224,0.00028206,0.0009070152,0.788174],"genre_scores_gemma":[0.01281441,0.0560922,0.02421957,0.007764915,0.0045145,0.00008688225,0.0002684733,0.0004115156,0.8938276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05022506,"threshold_uncertainty_score":0.1680195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04407349422151224,"score_gpt":0.3218411708093546,"score_spread":0.2777676765878423,"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."}}