{"id":"W3178278881","doi":"10.1016/j.biomaterials.2021.121004","title":"Drug screening by uniform patient derived colorectal cancer hydro-organoids","year":2021,"lang":"en","type":"article","venue":"Biomaterials","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nexen (Canada)","funders":"Ministry of Science, ICT and Future Planning; Ministry of Trade, Industry and Energy; National Research Foundation of Korea; Ministry of Education","keywords":"Organoid; Matrigel; Colorectal cancer; Computer science; Biomedical engineering; Computational biology; Biology; Medicine; Cell biology; Cancer; Cancer research; Internal medicine; Angiogenesis","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":[0.0002522839,0.0002670226,0.0002557883,0.0002614916,0.000109002,0.0002542378,0.00014368,0.0002346207,0.002093925],"category_scores_gemma":[0.0002809506,0.0001170588,0.0002253876,0.0002497963,0.0001417533,0.0001354818,0.0002099736,0.0003195678,0.000453742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001289231,"about_ca_system_score_gemma":0.0001776614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005140261,"about_ca_topic_score_gemma":0.0008855682,"domain_scores_codex":[0.9998221,0.00004561081,0.00001577031,0.00004031679,0.00004485587,0.00003153063],"domain_scores_gemma":[0.9998548,0.00005223366,0.00002213611,0.00002492954,0.00002388716,0.00002199489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002502627,0.00006072365,0.0006284971,0.00008289846,0.000008528896,0.0001324699,0.00003386356,0.0003338093,0.9939681,0.0001128162,0.0001863352,0.004201633],"study_design_scores_gemma":[0.00001652851,0.0005750877,0.00212087,0.000006639966,0.00002289957,0.0002820546,0.00003665359,0.0007974318,0.9929427,0.00002553173,0.003168417,0.000005174284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982614,0.002127868,0.008415525,0.000176401,0.00005876672,0.0002266667,0.00160402,0.0001868176,0.004589864],"genre_scores_gemma":[0.9884023,0.0009253483,0.005483022,0.0001003179,0.000006999906,0.00007792567,0.001506211,0.00002056008,0.003477248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002093925,"threshold_uncertainty_score":0.007004857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378774635807367,"score_gpt":0.2619907540179519,"score_spread":0.2482030076598782,"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."}}