{"id":"W2795617563","doi":"10.5114/polp.2018.74766","title":"Hepato- and splenomegaly in selected metabolic diseases – diagnostics and differentiation","year":2018,"lang":"en","type":"article","venue":"Pediatria Polska","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pediatrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000381193,0.0001474409,0.0002757427,0.000141873,0.00005962646,0.00003483132,0.00002614871,0.00004986971,0.00008793244],"category_scores_gemma":[0.000240863,0.0001213972,0.00003499201,0.0002117407,0.00006718255,0.00008117281,0.00004170854,0.00005670203,0.00001574103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002662456,"about_ca_system_score_gemma":0.00006591445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346179,"about_ca_topic_score_gemma":0.0001272259,"domain_scores_codex":[0.9991709,0.00003975138,0.0001805564,0.0002639072,0.0001366477,0.0002082579],"domain_scores_gemma":[0.9993231,0.0001605916,0.00005307005,0.000140904,0.00007875689,0.0002436197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009116582,0.0003453761,0.9961404,0.00004446094,0.00006810884,0.00001996563,0.0002126703,3.383524e-8,0.00003063176,0.0003333059,0.000555386,0.002158456],"study_design_scores_gemma":[0.002618495,0.0002128193,0.9950311,0.00002471726,0.0008859723,0.000005122784,0.00002909279,0.0001047307,0.0001829875,0.0001980811,0.0005915294,0.0001153602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839236,0.01482405,0.000003944679,0.0004835423,0.00009669908,0.0004127077,0.0001048583,0.00004141269,0.0001092081],"genre_scores_gemma":[0.9885809,0.01034909,0.00007060773,0.0001555405,0.0006318826,0.00005427419,0.0001077542,0.00001674293,0.00003318502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004657346,"threshold_uncertainty_score":0.4950434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007970931330859115,"score_gpt":0.2485200718307584,"score_spread":0.2405491404998993,"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."}}