{"id":"W4413303035","doi":"10.1007/978-3-662-71869-8_13","title":"Optimierung","year":2025,"lang":"de","type":"book-chapter","venue":"","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008798332,0.0003771136,0.0003407824,0.0001881518,0.00006384221,0.0000975813,0.0002784222,0.0001999483,0.002078154],"category_scores_gemma":[0.00001854069,0.0003948859,0.0001915574,0.00005517996,0.00004448083,0.00007735997,0.0001566357,0.0005278532,0.002891066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111651,"about_ca_system_score_gemma":0.00004218871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001624141,"about_ca_topic_score_gemma":0.000002371504,"domain_scores_codex":[0.9987142,0.000003160913,0.0002637839,0.0002777462,0.0002557251,0.0004853742],"domain_scores_gemma":[0.9991671,0.00009222914,0.00001615065,0.000466085,0.00005742342,0.0002009388],"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":[0.000006992436,0.00001639763,0.000003841677,0.0005830817,0.0007270777,0.00005716531,0.00003456885,0.1015774,0.002173149,0.7520002,0.02193458,0.1208856],"study_design_scores_gemma":[0.0003310095,0.00005367932,0.00003337123,0.0007837224,0.0001245297,0.000001732988,0.000006699136,0.4233448,0.002104484,0.07150663,0.5007318,0.0009775579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002742939,0.002942669,0.005905327,0.0001829691,0.0006700392,0.0001888121,0.00004604053,0.0004161194,0.9893737],"genre_scores_gemma":[0.3529888,0.01077406,0.01125905,0.0001306336,0.001258275,0.00003613457,0.0001145679,0.0003059879,0.6231325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6804935,"threshold_uncertainty_score":0.9998503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111814279199406,"score_gpt":0.2140031852408261,"score_spread":0.202885042448832,"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."}}