{"id":"W4403745067","doi":"10.1515/9783839439609-014","title":"4.0 Einleitung","year":2024,"lang":"de","type":"book-chapter","venue":"transcript Verlag eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Air (Canada)","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":[0.0009294932,0.003826418,0.002914456,0.00181111,0.0005810117,0.000920473,0.002054715,0.002889647,0.01384579],"category_scores_gemma":[0.00001775786,0.00417894,0.003316761,0.0001206807,0.001805054,0.0002385542,0.0002366109,0.005256322,0.4231419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010949,"about_ca_system_score_gemma":0.000748064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00014176,"about_ca_topic_score_gemma":0.0003749833,"domain_scores_codex":[0.9882765,0.0001322748,0.002606431,0.003689819,0.002691635,0.002603358],"domain_scores_gemma":[0.9943827,0.0001766464,0.0005333575,0.003166531,0.0004146695,0.001326129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007201442,0.00008731886,0.000002639905,0.002635063,0.004349671,0.004193461,0.003494301,0.000008779034,0.05569858,0.9084347,0.01492196,0.005453303],"study_design_scores_gemma":[0.001948377,0.0005341682,0.000007034252,0.004978787,0.008017737,0.0002144581,0.00009507533,0.0001357004,0.003328468,0.05783075,0.9191413,0.003768143],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002174204,0.03045543,0.00009338952,0.0002193373,0.01117478,0.002664874,0.005053198,0.002844015,0.9472775],"genre_scores_gemma":[0.06292494,0.0004698059,0.0002728151,0.0005821804,0.003092518,0.0001425538,0.0005562872,0.003970083,0.9279888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9042193,"threshold_uncertainty_score":0.9984048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150165095624678,"score_gpt":0.2411224314092456,"score_spread":0.2096207804529989,"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."}}