{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001285909,0.0002596423,0.0001275266,0.0001571052,0.00008940815,0.0002502051,0.0002120372,0.0003234757,0.0005742547],"category_scores_gemma":[0.0001357671,0.0001450594,0.000160025,0.0001186441,0.0001703416,0.0002055412,0.0001328276,0.000331483,0.0002008639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000310572,"about_ca_system_score_gemma":0.0002038732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003610487,"about_ca_topic_score_gemma":0.001011279,"domain_scores_codex":[0.9999248,0.00001037633,0.000006144558,0.00001380039,0.00003125632,0.00001365822],"domain_scores_gemma":[0.9998784,0.0000303123,0.00005293269,0.0000114571,0.000009451225,0.00001748585],"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":[0.00003282012,0.000029048,0.0001015431,0.00003784063,0.000003656309,0.00004078318,0.000008775144,0.002499557,0.9952543,0.0003073971,0.00006690836,0.001617369],"study_design_scores_gemma":[0.00002272689,0.0001290071,0.0004028896,0.000005971652,0.000006713668,0.00006477209,0.000008457196,0.01066839,0.9862645,0.0001098272,0.002308528,0.000008236638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502647,0.001297854,0.04216198,0.0002365884,0.00006157385,0.0002253382,0.001098301,0.0004203113,0.004233267],"genre_scores_gemma":[0.9591649,0.0007704735,0.03831367,0.00006406004,0.000006649349,0.0001905341,0.0002616731,0.00003600228,0.001192003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005742547,"threshold_uncertainty_score":0.002253354,"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."}}