{"id":"W2906267672","doi":"10.1002/adma.201806214","title":"Rationally Designed 3D Hydrogels Model Invasive Lung Diseases Enabling High‐Content Drug Screening","year":2018,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Tuberous Sclerosis Complex Research","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; University of Toronto","funders":"","keywords":"Lymphangioleiomyomatosis; mTORC1; Self-healing hydrogels; Cancer research; Drug; Lung; Biology; Cell; Tuberous sclerosis; Materials science; Cell biology; Signal transduction; Pathology; Pharmacology; Medicine; PI3K/AKT/mTOR pathway; Internal medicine; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004199388,0.0002682563,0.0005274471,0.0001706027,0.0002881672,0.0001139056,0.0002199839,0.00006389528,0.0006285986],"category_scores_gemma":[0.0007745691,0.0002402994,0.00007468382,0.000177193,0.0001892679,0.0004637308,0.0001905681,0.00009023415,0.000116875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897296,"about_ca_system_score_gemma":0.0002978739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007728292,"about_ca_topic_score_gemma":0.00003019681,"domain_scores_codex":[0.9974642,0.000133826,0.0005294658,0.000537371,0.000747956,0.0005871672],"domain_scores_gemma":[0.9980412,0.0002550433,0.0001719134,0.0005077891,0.0007415662,0.0002825528],"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":[0.0008044085,0.00008865409,0.0003211086,0.0001103657,0.0000794446,0.00002099457,0.0001609753,0.0008595219,0.9948987,0.000523756,0.0005877741,0.001544318],"study_design_scores_gemma":[0.002644138,0.0002023273,0.003597242,0.000485949,0.0001072795,0.00001623478,0.00008529839,0.001934721,0.9894165,0.001055563,0.0001550566,0.0002996753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700829,0.0003256343,0.0270531,0.0006385372,0.000291927,0.001105275,0.0001321903,0.000212163,0.0001582669],"genre_scores_gemma":[0.9363635,0.00007806985,0.06080281,0.0007883503,0.0006466395,0.0002026101,0.0001625803,0.00007231672,0.0008831786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03374972,"threshold_uncertainty_score":0.9799126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06711780971404717,"score_gpt":0.3132310431411592,"score_spread":0.246113233427112,"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."}}