{"id":"W4367674758","doi":"10.1515/9783110767506-027","title":"Zu den Autorinnen und Autoren","year":2023,"lang":"de","type":"book-chapter","venue":"","topic":"German Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Art","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":[],"category_scores_codex":[0.0005862969,0.0006064946,0.0003066021,0.001893287,0.00317759,0.004662236,0.0005280946,0.00144402,0.04048222],"category_scores_gemma":[0.001235157,0.0002907704,0.0001643524,0.002202212,0.002537825,0.003193849,0.001814953,0.001794896,0.02019228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938984,"about_ca_system_score_gemma":0.001683184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003843916,"about_ca_topic_score_gemma":0.01071972,"domain_scores_codex":[0.9996009,0.0001441098,0.00001516476,0.00005157078,0.0001310167,0.00005729974],"domain_scores_gemma":[0.9997246,0.0001134283,0.00002371747,0.0000442843,0.00007049989,0.00002342466],"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":[0.00001556025,0.00001918205,0.0000737937,0.0001259645,0.000003371478,0.00008774969,0.003286237,0.00006579146,0.0003030549,0.5026634,0.4369144,0.05644152],"study_design_scores_gemma":[0.000001539283,0.000002002089,0.0001034002,0.0001094972,0.000002062544,0.00004878272,0.0005144876,0.00003853716,0.0001512434,0.010656,0.9883699,0.000002387277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002786102,0.0486316,0.001648834,0.01062546,0.00441901,0.00003434656,0.0002788778,0.0001128092,0.9314629],"genre_scores_gemma":[0.02405756,0.01242689,0.0006130068,0.002660119,0.0009976251,0.00005043373,0.0001432201,0.0001132243,0.9589379],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9595178,"threshold_uncertainty_score":0.1354265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03638418205420262,"score_gpt":0.2445906252469236,"score_spread":0.2082064431927209,"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."}}