{"id":"W6988033103","doi":"","title":"Valutazione della plessite come indice predittivo di recidiva post-chirurgica di Malattia di Crohn","year":2019,"lang":"it","type":"article","venue":"Electronic Theses and Dissertations Repository (University of Pisa)","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical journal; Economic shortage; University hospital","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":[],"consensus_categories":[],"category_scores_codex":[0.004174417,0.0007122271,0.00183999,0.001133024,0.0002660618,0.002235177,0.00045924,0.001048952,0.003693955],"category_scores_gemma":[0.009198165,0.000362583,0.001579419,0.001389873,0.0003987018,0.001155978,0.0004607056,0.001328831,0.0007531547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006218321,"about_ca_system_score_gemma":0.0006159854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009272163,"about_ca_topic_score_gemma":0.001237528,"domain_scores_codex":[0.9980125,0.00093738,0.0001973046,0.0003310696,0.0003511054,0.0001706669],"domain_scores_gemma":[0.9924113,0.004059542,0.001698494,0.0004763927,0.0008359051,0.0005183968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04104767,0.001021293,0.6991866,0.00377944,0.003893552,0.000361253,0.000613387,0.001949702,0.005166959,0.0007839215,0.00233381,0.2398625],"study_design_scores_gemma":[0.001425417,0.01702036,0.9448097,0.001636224,0.006045302,0.001825869,0.0006497892,0.005525231,0.005161927,0.001423013,0.01433337,0.0001438643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849562,0.1000761,0.00315008,0.001572347,0.0003829047,0.0003209633,0.001747746,0.00008358675,0.007710014],"genre_scores_gemma":[0.98251,0.01131103,0.002075464,0.0003445227,0.0003863135,0.0002467948,0.00103958,0.00002243046,0.002063995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004174417,"threshold_uncertainty_score":0.02207667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003475428813628586,"score_gpt":0.1966519291876064,"score_spread":0.1931765003739778,"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."}}