{"id":"W4250019565","doi":"10.1515/9783839442517-002","title":"Acknowledgements","year":2018,"lang":"en","type":"book-chapter","venue":"transcript Verlag eBooks","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.0001389759,0.0006728087,0.0007499539,0.0003964212,0.0005278813,0.0001477288,0.0005236523,0.000270865,0.3405395],"category_scores_gemma":[0.000008692117,0.0006449786,0.0006630549,0.000006784163,0.001228413,0.0001185314,0.00003152249,0.0004583019,0.0346635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000214176,"about_ca_system_score_gemma":0.0001087442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001505188,"about_ca_topic_score_gemma":0.00409735,"domain_scores_codex":[0.9978083,0.00003457476,0.0005661907,0.000667656,0.0005125815,0.0004106406],"domain_scores_gemma":[0.9981895,0.00002081334,0.0002346468,0.0007041665,0.0006856501,0.0001652306],"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":[0.00007763349,0.00003936229,5.232345e-7,0.0001717662,0.000818712,0.00003770782,0.05664117,5.910745e-8,0.0001638319,0.15725,0.7790822,0.005716993],"study_design_scores_gemma":[0.0004256355,0.0002420262,4.828124e-7,0.0001822409,0.0006552885,7.503372e-7,0.0005189225,0.000002382915,0.0001416922,0.01526766,0.9818783,0.0006846189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006989283,0.001040335,0.00001601957,0.00003854065,0.003847495,0.0003756921,0.0002033284,0.0002134478,0.9941952],"genre_scores_gemma":[0.001770501,0.00002320725,0.00003023833,0.0004931137,0.003856595,0.00002372317,0.00008573237,0.00017931,0.9935376],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.305876,"threshold_uncertainty_score":0.9996002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547102028270512,"score_gpt":0.2307123750374254,"score_spread":0.1760021722103742,"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."}}