{"id":"W4289516768","doi":"10.3389/fonc.2022.960340","title":"In vitro models for head and neck cancer: Current status and future perspective","year":2022,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"National Institutes of Health","keywords":"Cancer; Tumor microenvironment; Head and neck cancer; In vivo; In vitro; Medicine; Drug; Cancer drugs; Cancer cell; Drug delivery; Pharmacology; Cancer research; Oncology; Internal medicine; Biology; Chemistry; Biotechnology; 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":[0.00150233,0.0009272413,0.001368854,0.002408513,0.0002971077,0.001963129,0.001057935,0.001594153,0.003448755],"category_scores_gemma":[0.001462368,0.0004810957,0.0008979385,0.001976798,0.0007648435,0.001954024,0.0007701739,0.001857409,0.002357019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007503751,"about_ca_system_score_gemma":0.001095947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228156,"about_ca_topic_score_gemma":0.001698052,"domain_scores_codex":[0.9994437,0.0001208515,0.00007554555,0.00008403662,0.0002342278,0.00004166435],"domain_scores_gemma":[0.9987291,0.0007980529,0.0001386098,0.00003865671,0.0002556343,0.00004000018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006560015,0.0001404837,0.0002548156,0.03272153,0.00007405932,0.0002379648,0.0001346603,0.0006829105,0.01005421,0.009642515,0.01870246,0.9272888],"study_design_scores_gemma":[0.00001036451,0.0001734604,0.0005419192,0.003128061,0.000115628,0.001194775,0.0001037427,0.0002618093,0.004043897,0.002152549,0.9882387,0.00003501516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001991853,0.9975554,0.0004924038,0.0002130902,0.0001912215,0.000009605007,0.00002278246,0.00001147396,0.001304906],"genre_scores_gemma":[0.001037223,0.9974691,0.0005670399,0.0001601304,0.0001168838,0.00001336633,0.00004054634,0.000003833799,0.0005919916],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003448755,"threshold_uncertainty_score":0.01153725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05174212280323005,"score_gpt":0.4018778860042968,"score_spread":0.3501357632010668,"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."}}