{"id":"W4398748689","doi":"10.1093/ibd/izae084","title":"Challenges in IBD Research 2024: Precision Medicine","year":2024,"lang":"en","type":"review","venue":"Inflammatory Bowel Diseases","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Workgroup; Multidisciplinary approach; Medicine; Biomarker discovery; Precision medicine; Data science; Translational research; Best practice; Resource (disambiguation); Management science; Computer science; Pathology; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1347594,0.001934212,0.004107071,0.0054723,0.004678308,0.02191026,0.004873884,0.01535948,0.02393576],"category_scores_gemma":[0.1379956,0.001425248,0.004307559,0.004350159,0.0129889,0.02382551,0.01243669,0.03197463,0.01467443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009406154,"about_ca_system_score_gemma":0.04087668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004915101,"about_ca_topic_score_gemma":0.004910512,"domain_scores_codex":[0.9149076,0.04021071,0.008136704,0.006661227,0.02562707,0.004456697],"domain_scores_gemma":[0.7391852,0.1629469,0.009568375,0.0208137,0.05161561,0.01587035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003375605,0.0001352183,0.001632429,0.004055544,0.0003037985,0.0002960891,0.0008186492,0.0008352759,0.001793326,0.1205791,0.4934941,0.3757189],"study_design_scores_gemma":[0.00007735438,0.0002338205,0.0009618773,0.005421521,0.0001233338,0.0005754136,0.000661772,0.000475266,0.000799513,0.1209882,0.8695679,0.0001139794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0008229176,0.1580552,0.01688719,0.7766417,0.03255628,0.0001751895,0.001192665,0.000667002,0.01300185],"genre_scores_gemma":[0.03425155,0.2836888,0.0837744,0.4820115,0.09231053,0.0008420807,0.004488783,0.0009852241,0.01764722],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1347594,"threshold_uncertainty_score":0.7126844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09325252291885819,"score_gpt":0.3891569584409807,"score_spread":0.2959044355221225,"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."}}