{"id":"W4386251118","doi":"10.18280/mmep.100443","title":"Pleural Effusion Measurement Method on Thoracic Image of Dengue Fever Patient Using Image Processing Technique","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Diponegoro","keywords":"Dengue fever; Pleural effusion; Image (mathematics); Medicine; Radiology; Computer vision; Artificial intelligence; Image processing; Computer science; Virology","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":[0.000736113,0.0001675511,0.0002013644,0.0001836989,0.0001161402,0.00006046718,0.00008622497,0.00006646318,0.000005637805],"category_scores_gemma":[0.0001944209,0.0001434045,0.00004950225,0.0003945339,0.00003639096,0.0001156968,0.00004364221,0.0001999526,0.0000105129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005252214,"about_ca_system_score_gemma":0.00001374361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002398038,"about_ca_topic_score_gemma":5.036527e-8,"domain_scores_codex":[0.9986166,0.00006003993,0.0003483311,0.0003129621,0.0004212669,0.0002408322],"domain_scores_gemma":[0.999468,0.0001241169,0.00009634721,0.0001735334,0.00006417945,0.00007386028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004669442,0.00004246646,4.432845e-7,0.0007286878,0.000002160138,0.000002297402,0.0004338383,0.2135064,0.7823969,0.0005889714,0.000002038212,0.002291151],"study_design_scores_gemma":[0.00005330324,0.00002153405,0.00000223972,0.0004179683,0.000008787238,0.0000172397,0.00002883288,0.6249005,0.3723736,0.0020665,0.00001153665,0.0000980417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1538538,0.00001255263,0.8453252,0.00005046155,0.00003879523,0.0003363384,0.000001829508,0.0002722046,0.0001088347],"genre_scores_gemma":[0.8807427,0.000009620457,0.1190988,0.00001211612,0.00001458548,0.00007074319,5.998501e-7,0.00003561609,0.00001521957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7268888,"threshold_uncertainty_score":0.5847864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001527911796373,"score_gpt":0.3032861040118254,"score_spread":0.2031333128321881,"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."}}