{"id":"W4293149343","doi":"10.1055/s-0042-1747218","title":"Identifizierung einer prädiktiven Markersignatur zur Diagnose von HNSCC basierend auf Thrombozyten-RNAseq","year":2022,"lang":"de","type":"article","venue":"Laryngo-Rhino-Otologie","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Chemistry; Molecular biology; Gynecology; Medicine; Biology","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":[0.005244859,0.001047585,0.001094528,0.002502396,0.0003391008,0.002234268,0.0007079249,0.001138032,0.003975384],"category_scores_gemma":[0.006113891,0.0007238276,0.0009081188,0.001368051,0.0006375858,0.0005575864,0.0007863914,0.001789497,0.001873012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640652,"about_ca_system_score_gemma":0.0009689526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006499834,"about_ca_topic_score_gemma":0.0008493626,"domain_scores_codex":[0.9967312,0.0008529611,0.000280828,0.0007859922,0.001098266,0.0002508478],"domain_scores_gemma":[0.9972835,0.001540903,0.0003388127,0.0002290008,0.0005126096,0.0000952257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002116094,0.0002595036,0.09487151,0.003497689,0.001039343,0.0006443397,0.0006105165,0.002909255,0.601705,0.002130079,0.006885375,0.2833314],"study_design_scores_gemma":[0.000527315,0.003159712,0.1059995,0.001364958,0.002064143,0.004884311,0.0005504632,0.01711751,0.7251101,0.007650465,0.1313184,0.00025311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5705668,0.1707636,0.2027149,0.006982134,0.002083309,0.00234352,0.02731639,0.002653149,0.01457618],"genre_scores_gemma":[0.7056448,0.02895734,0.2266329,0.004081363,0.001073073,0.003082888,0.02098261,0.0004373492,0.009107569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005244859,"threshold_uncertainty_score":0.02773786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297925041121765,"score_gpt":0.2481559888047609,"score_spread":0.2351767383935432,"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."}}