{"id":"W7164073401","doi":"10.34657/37103","title":"METIS - Mobile Sensortechnologien für die Behandlung neurologischer Störungen","year":2025,"lang":"de","type":"report","venue":"TIB Repositorium","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Disease; Context (archaeology); Dysgeusia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958499,0.001022337,0.0007437366,0.0009407479,0.0005318753,0.0009062324,0.0005332505,0.001387079,0.02196921],"category_scores_gemma":[0.0006067826,0.0001577396,0.0008354552,0.0007073075,0.0003914333,0.0004203131,0.0006847598,0.001202335,0.004588115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924568,"about_ca_system_score_gemma":0.0009798482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007332028,"about_ca_topic_score_gemma":0.001708018,"domain_scores_codex":[0.9995454,0.00008580709,0.00003487803,0.00004023143,0.0001830871,0.0001104995],"domain_scores_gemma":[0.9995746,0.0001272033,0.00007403693,0.00001976216,0.00007323818,0.0001310914],"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":[0.01347497,0.001624898,0.01702582,0.002409758,0.0004948052,0.01086355,0.0001409842,0.000801095,0.04502695,0.00395356,0.08508106,0.8191026],"study_design_scores_gemma":[0.006218691,0.04161183,0.1325333,0.002415993,0.001291118,0.06411803,0.0007686634,0.003014874,0.1172487,0.004380658,0.6262555,0.0001427589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.2391587,0.4078946,0.0152379,0.02355718,0.01272351,0.003097373,0.009947582,0.001386745,0.2869963],"genre_scores_gemma":[0.7175307,0.1447628,0.01547039,0.004786574,0.008210556,0.001748565,0.005899405,0.0001502484,0.1014407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02196921,"threshold_uncertainty_score":0.07349432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225679077865365,"score_gpt":0.3247702888767107,"score_spread":0.302513498098057,"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."}}