{"id":"W4301973583","doi":"","title":"Liver Imaging Reporting and Data System: an expert consensus statement","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statement (logic); Computer science; Data science; Medical physics; Data mining; Medicine; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2230957,0.002408497,0.00564144,0.008465769,0.004402426,0.009521537,0.01708461,0.01752737,0.004603214],"category_scores_gemma":[0.1922257,0.002410033,0.009178196,0.007201373,0.004246064,0.007262155,0.007540651,0.02235356,0.006148212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008186802,"about_ca_system_score_gemma":0.05243796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009214575,"about_ca_topic_score_gemma":0.006684222,"domain_scores_codex":[0.8252504,0.06278248,0.06729098,0.007216801,0.03210513,0.005354268],"domain_scores_gemma":[0.6366053,0.1086006,0.03873663,0.02164295,0.178932,0.01548254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006371691,0.0005279934,0.004994322,0.01919595,0.001114954,0.001230069,0.001650438,0.002461457,0.004452484,0.01518302,0.5687536,0.3797987],"study_design_scores_gemma":[0.0006474008,0.0002629994,0.007444897,0.0524019,0.001422343,0.001681442,0.001578089,0.003225961,0.003564911,0.01313245,0.9142655,0.0003721252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.007497264,0.132642,0.1515573,0.5720609,0.05469843,0.02801783,0.01116041,0.00241829,0.03994756],"genre_scores_gemma":[0.03999391,0.08468472,0.5750417,0.1955171,0.01942564,0.03598603,0.03047717,0.001613615,0.01726019],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2230957,"threshold_uncertainty_score":0.9580613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3744105550833449,"score_gpt":0.6164975053962095,"score_spread":0.2420869503128646,"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."}}