{"id":"W4389097545","doi":"10.24908/pocus.v8i2.16265","title":"Troubleshooting Paracentesis Using POCUS","year":2023,"lang":"en","type":"article","venue":"POCUS Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paracentesis; Medicine; Ascites; Troubleshooting; Catheter; Point of care ultrasound; Surgery; Ultrasound; Intensive care medicine; Radiology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006669505,0.0001110688,0.0002383728,0.0001486219,0.0002993534,0.00006605741,0.0001229571,0.00007826598,0.0005444482],"category_scores_gemma":[0.0008773925,0.00009101294,0.0001785537,0.0005718286,0.00005522716,0.00009808993,0.00003826526,0.000537423,0.0006510945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085726,"about_ca_system_score_gemma":0.0001289441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137766,"about_ca_topic_score_gemma":0.000001558602,"domain_scores_codex":[0.9985974,0.00004039313,0.0004779805,0.0001748938,0.0003353269,0.0003739705],"domain_scores_gemma":[0.9987381,0.000423523,0.0001722117,0.0002196067,0.0001446466,0.0003019268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002811043,0.0008212489,0.7845219,0.0001054019,0.0005566181,0.000475694,0.0007785697,0.0006158073,0.118953,0.002477496,0.03074396,0.05966917],"study_design_scores_gemma":[0.01203379,0.0008762445,0.728729,0.001164457,0.001613964,0.01739355,0.002546352,0.02120368,0.01063701,0.04804836,0.1543733,0.001380225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878974,0.0001792442,0.002923807,0.004743235,0.0003173381,0.0001550029,0.000005877152,0.0001485099,0.003629579],"genre_scores_gemma":[0.9852175,0.0001930424,0.01193582,0.0004599177,0.001017539,0.000006214753,0.000007919622,0.00003515387,0.00112697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1236294,"threshold_uncertainty_score":0.836872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260753508684738,"score_gpt":0.4144275770485308,"score_spread":0.288352226180057,"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."}}