{"id":"W4247162670","doi":"10.14361/9783839451243-fm","title":"Frontmatter","year":2020,"lang":"de","type":"book-chapter","venue":"Edition Kulturwissenschaft","topic":"","field":"","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":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00047882,0.002753311,0.002313447,0.0006550886,0.000686128,0.0005342581,0.001065498,0.002442266,0.2400306],"category_scores_gemma":[0.0003581326,0.002920746,0.001533222,0.0002414149,0.0009003534,0.0007742241,0.0005248273,0.003842256,0.9133867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007441308,"about_ca_system_score_gemma":0.0002646985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002716246,"about_ca_topic_score_gemma":0.00001910179,"domain_scores_codex":[0.9905552,0.0002340847,0.002179934,0.002952754,0.0026539,0.001424099],"domain_scores_gemma":[0.9931792,0.0003027871,0.001916399,0.001900841,0.001083463,0.001617286],"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":[0.0003131273,0.0001040742,0.00000750454,0.0002816607,0.001076889,0.00116431,0.0005676121,0.00001755089,0.008024318,0.06985655,0.9181747,0.0004117084],"study_design_scores_gemma":[0.001731871,0.0003458748,0.00009475273,0.001172601,0.001365056,0.0001407454,0.0001483762,0.0001919138,0.001522339,0.007635375,0.9826139,0.003037164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005618709,0.00281679,0.0005256893,0.01665011,0.02153138,0.002222362,0.01132307,0.002056451,0.942818],"genre_scores_gemma":[0.01279263,0.0002483853,0.002157982,0.008058376,0.08004372,0.0001094546,0.02014957,0.002101962,0.8743379],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6733561,"threshold_uncertainty_score":0.9988528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152863898868623,"score_gpt":0.2412437426305507,"score_spread":0.2197151036418645,"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."}}