{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004096445,0.0002744045,0.001316811,0.0005779639,0.00004178758,0.00001603638,0.0002179185,0.0003700865,0.00003613709],"category_scores_gemma":[0.0001009514,0.0002692777,0.00008362127,0.0003796141,0.0001354846,0.00006520405,0.0002051466,0.001366782,4.297482e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00352604,"about_ca_system_score_gemma":0.0005153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000135033,"about_ca_topic_score_gemma":0.00007862188,"domain_scores_codex":[0.9982108,0.0001696053,0.000376986,0.0004531686,0.0001672566,0.0006222093],"domain_scores_gemma":[0.9992793,0.0003239544,0.00006079584,0.0001593141,0.0000218483,0.0001548118],"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":[0.00002893277,0.00003193957,0.00002156714,0.005308055,0.00006001635,0.00001444264,0.0005025603,0.00006071079,1.089734e-7,0.0001969016,0.007452865,0.9863219],"study_design_scores_gemma":[0.0006073776,0.00007913678,0.000008693929,0.0004912219,0.00004530173,0.000005787218,0.0003187023,0.007460229,1.708145e-7,0.001894979,0.988862,0.0002263741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003204099,0.9935614,0.0006829578,0.0001816485,0.003766295,0.001090772,0.0001750925,0.00003304131,0.0004767868],"genre_scores_gemma":[0.000004642108,0.9927088,0.005383125,0.00001753221,0.0004125866,0.001343651,0.00003950326,0.00005736409,0.00003278176],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9860955,"threshold_uncertainty_score":0.9999759,"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."}}