{"id":"W2964772567","doi":"10.1242/dmm.039347","title":"Disease modelling in human organoids","year":2019,"lang":"en","type":"review","venue":"Disease Models & Mechanisms","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":383,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Horizon 2020 Framework Programme; National Centre for the Replacement, Refinement and Reduction of Animals in Research; National Centre for the Replacement Refinement and Reduction of Animals in Research; Medical Research Council; Royal Society; Medical Research Council Canada; Wellcome Trust","keywords":"Organoid; Biology; Human disease; Regenerative medicine; Computational biology; Progenitor cell; Disease; Stem cell; Neuroscience; Cell biology; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001035815,0.0006701828,0.0009528333,0.001529696,0.0002156332,0.001261196,0.0007148195,0.0009762834,0.001923459],"category_scores_gemma":[0.000694892,0.0002358525,0.0005065181,0.000869353,0.0006936504,0.0008703247,0.0008125125,0.001396671,0.001504533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005424814,"about_ca_system_score_gemma":0.0006031015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007201501,"about_ca_topic_score_gemma":0.0007851548,"domain_scores_codex":[0.9996444,0.0001082402,0.00004120875,0.00005457804,0.0001282456,0.00002336866],"domain_scores_gemma":[0.9997112,0.000152979,0.00003933839,0.00002196377,0.00005358319,0.00002081494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001173932,0.00009684879,0.0003772041,0.0192291,0.0001372981,0.001226816,0.000292789,0.004118471,0.05396141,0.03261954,0.03436444,0.8534587],"study_design_scores_gemma":[0.00001324184,0.00009298596,0.0003653855,0.002081315,0.00008284267,0.003338786,0.00008084965,0.0005988634,0.01451356,0.003949895,0.9748518,0.00003040322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001204202,0.9808241,0.009744741,0.0005155341,0.0004383796,0.00004620028,0.0001278982,0.00009348686,0.007005492],"genre_scores_gemma":[0.01449926,0.9751139,0.005950374,0.0004006351,0.000202173,0.000104436,0.0003233976,0.00002707566,0.003378901],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001923459,"threshold_uncertainty_score":0.006434679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1485169664416533,"score_gpt":0.3617545019461195,"score_spread":0.2132375355044662,"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."}}