{"id":"W2564066065","doi":"10.1016/j.biomaterials.2018.01.038","title":"A TRACER 3D Co-Culture tumour model for head and neck cancer","year":2018,"lang":"en","type":"article","venue":"Biomaterials","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Cell culture; Head and neck squamous-cell carcinoma; Stroma; Tumor microenvironment; Scaffold; Cancer cell; Biomedical engineering; Materials science; Cancer research; Cancer; Pathology; Head and neck cancer; Biology; Medicine; Tumor cells; Immunohistochemistry; Internal medicine","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":[0.0004937972,0.0004453557,0.0004139417,0.0006526128,0.0004482825,0.0008567211,0.0005828639,0.001149789,0.001702937],"category_scores_gemma":[0.0002238097,0.0003482367,0.0004794457,0.0005603227,0.0003587753,0.0005039088,0.0004286638,0.0008554987,0.0007617518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008557433,"about_ca_system_score_gemma":0.001745126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129737,"about_ca_topic_score_gemma":0.01487102,"domain_scores_codex":[0.9997789,0.00003331917,0.00001063702,0.00003594494,0.0001058912,0.00003539839],"domain_scores_gemma":[0.9998332,0.00004897676,0.00002421761,0.00002614566,0.00003144074,0.00003600491],"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":[0.000245929,0.0001011377,0.0006540168,0.0003694957,0.000027983,0.0006658104,0.0002274196,0.005116248,0.976158,0.00390898,0.001084271,0.01144085],"study_design_scores_gemma":[0.00009117842,0.000887416,0.003564833,0.00009354714,0.0001802123,0.002720706,0.0002046448,0.03473809,0.8886479,0.0009187281,0.06786599,0.00008677941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7195181,0.01875922,0.2290386,0.001172912,0.0005194154,0.0007194068,0.003891557,0.001734417,0.02464637],"genre_scores_gemma":[0.8624027,0.006509924,0.1098428,0.0001936893,0.00003353841,0.0004775486,0.001811339,0.000215256,0.01851313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01129737,"threshold_uncertainty_score":0.02246326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05231226191365097,"score_gpt":0.3643790923456441,"score_spread":0.3120668304319932,"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."}}