{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001123537,0.0001218067,0.0002939417,0.00003098321,0.0000706675,0.0000359102,0.00003314175,0.00007613494,0.0003673836],"category_scores_gemma":[0.00001453215,0.0000872173,0.00004837766,0.00003937615,0.0000737572,0.00004473475,0.00001423376,0.000006255748,0.00001554183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003374085,"about_ca_system_score_gemma":0.00007412124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001766278,"about_ca_topic_score_gemma":0.0001001771,"domain_scores_codex":[0.9993096,0.00001007994,0.0001750672,0.0002157214,0.00008752172,0.0002020384],"domain_scores_gemma":[0.9996151,0.000005717746,0.00005843736,0.0001246552,0.00008698744,0.0001091553],"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":[0.0005289827,0.00003692048,0.0001117124,0.000187112,0.00004521526,0.00000196617,0.0005580294,3.703021e-7,0.9697738,0.00002995462,0.02530517,0.003420728],"study_design_scores_gemma":[0.002589307,0.0003550116,0.001208335,0.0001345296,0.0001829823,0.00002510767,0.00003044651,0.0005987335,0.844039,0.00007598052,0.1506031,0.0001574813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959437,0.001012044,0.0003583055,0.0006205497,0.0004330786,0.000541828,0.0005713013,0.00004545771,0.0004737558],"genre_scores_gemma":[0.9872874,0.0003272125,0.007145182,0.0008214995,0.001218186,0.0001508848,0.00004062378,0.00002822035,0.002980772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257348,"threshold_uncertainty_score":0.4022593,"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."}}