{"id":"W2994106476","doi":"10.22148/16.058","title":"Annotating Narrative Levels: Review of Guideline No. 5","year":2019,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Guideline; Narrative criticism; Narrative history; Narrative network; Narrative inquiry; Linguistics; Psychology; Computer science; Literature; History; Philosophy; Art; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004430857,0.00009181615,0.0003083039,0.00002260459,0.00001922104,0.000006350847,0.0001760264,0.00007786181,0.00009730485],"category_scores_gemma":[0.001036246,0.00005445737,0.0001843281,0.00009622238,0.00006802155,0.000005058519,0.00004219512,0.0001217533,0.000008161996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009176489,"about_ca_system_score_gemma":0.00007489184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001624598,"about_ca_topic_score_gemma":8.739743e-7,"domain_scores_codex":[0.9989014,0.00004482476,0.0006519442,0.00008556745,0.0002102555,0.0001059898],"domain_scores_gemma":[0.9981191,0.00001953007,0.0005876852,0.000109888,0.001108977,0.00005487248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001950918,0.0001656796,0.002433171,0.002501747,0.0008390849,0.00002453634,0.001029548,0.0002251549,0.5824577,0.00007459654,0.3759817,0.03407193],"study_design_scores_gemma":[0.001888309,0.003741286,0.001458292,0.007512826,0.0003065009,0.0003630641,0.006565584,0.0007435427,0.0533454,0.0001457274,0.9233968,0.0005326505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368027,0.05366286,0.00132937,0.003475041,0.0007672214,0.0001547723,0.00002498719,0.000006953281,0.003776053],"genre_scores_gemma":[0.9392551,0.01532111,0.03595583,0.003103566,0.00099398,7.518466e-7,0.00004487782,0.00001691568,0.005307862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5474151,"threshold_uncertainty_score":0.2220707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097073018682514,"score_gpt":0.3412912473119553,"score_spread":0.3103205171251301,"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."}}