{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0008057746,0.001023942,0.001704036,0.0004230472,0.0001368167,0.00008017162,0.001058739,0.002182212,0.04112483],"category_scores_gemma":[0.0005783781,0.0008135795,0.0004822123,0.0001722097,0.001014603,0.00008710589,0.0008275668,0.004843932,0.06543636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499995,"about_ca_system_score_gemma":0.000985826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008386877,"about_ca_topic_score_gemma":0.0000144997,"domain_scores_codex":[0.992593,0.00005471208,0.001140918,0.001570488,0.003094757,0.001546124],"domain_scores_gemma":[0.9954848,0.0005140521,0.0003261394,0.001587637,0.0004092195,0.00167816],"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":[0.00245501,0.0009089474,0.004095364,0.009333845,0.003671253,0.002241286,0.0006053795,4.071618e-7,0.05941163,0.3106457,0.0280865,0.5785447],"study_design_scores_gemma":[0.001733625,0.0007246005,0.0007696777,0.004534923,0.0005927446,0.00001532407,0.00003822005,0.00004144975,0.004706505,0.002399544,0.9835171,0.0009263183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008716431,0.03432513,0.0000601186,0.006346742,0.002974434,0.001580063,0.0002423327,0.0002219193,0.9455329],"genre_scores_gemma":[0.1799087,0.03843984,0.0004567765,0.001930784,0.005309497,0.00005253295,0.000888854,0.0003431318,0.7726699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9554306,"threshold_uncertainty_score":0.9994315,"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."}}