{"id":"W4245486462","doi":"10.1007/978-3-662-48986-4_300285","title":"Benutzeranmeldung","year":2019,"lang":"de","type":"book-chapter","venue":"Springer Reference Medizin","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003249891,0.0009857758,0.0006836258,0.001292417,0.001202725,0.003583718,0.0007684877,0.001336806,0.3048185],"category_scores_gemma":[0.0007153,0.0003127532,0.000293247,0.001864075,0.0006212134,0.003123542,0.001997499,0.002668831,0.2339405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116284,"about_ca_system_score_gemma":0.001001035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147142,"about_ca_topic_score_gemma":0.003513177,"domain_scores_codex":[0.9997317,0.00003865197,0.000008598549,0.00005463771,0.0001267996,0.00003961305],"domain_scores_gemma":[0.9998571,0.0000401686,0.000009036732,0.00002744113,0.00004592151,0.00002036275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002685362,0.00003283397,0.00005056275,0.0002283255,0.000002905545,0.00008462799,0.0002534769,0.0001756324,0.001036116,0.06620241,0.5284539,0.4034524],"study_design_scores_gemma":[0.000001070738,0.000003163518,0.00004220241,0.00006707077,7.667857e-7,0.00004309128,0.00002694417,0.0000300844,0.0001073032,0.003198549,0.9964778,0.000001939316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004512893,0.0188603,0.001825348,0.002439299,0.003450209,0.00002672197,0.0003130218,0.0002748808,0.972359],"genre_scores_gemma":[0.001301036,0.004889215,0.0004839969,0.0003515665,0.0003138267,0.00001877101,0.0001749077,0.0001029217,0.9923637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6951815,"threshold_uncertainty_score":0.991592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06885141727241434,"score_gpt":0.3150697765642615,"score_spread":0.2462183592918472,"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."}}