{"id":"W4200572262","doi":"10.22148/001c.30703","title":"Annotation Guideline No. 7 (revised): Guidelines for annotation of narrative structure","year":2021,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annotation; Narrative; Focalization; Framing (construction); Computer science; Linguistics; Key (lock); Perspective (graphical); Literature; Artificial intelligence; History; Philosophy; Art","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":[0.0003599275,0.0001369144,0.000333568,0.0001045156,0.00007052466,0.000104138,0.0004387665,0.0000813724,0.000009302916],"category_scores_gemma":[0.002418313,0.00008968391,0.0001878851,0.0004967409,0.0000317566,0.0009320452,0.00005835361,0.0001620269,4.663356e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005415878,"about_ca_system_score_gemma":0.000197772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002635706,"about_ca_topic_score_gemma":0.000004968804,"domain_scores_codex":[0.9982097,0.00005136631,0.001047048,0.0001494693,0.0004146855,0.0001277215],"domain_scores_gemma":[0.981173,0.00007063607,0.001157445,0.0001658672,0.01737635,0.00005668471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001881911,0.0001673222,0.0001783843,0.0004832419,0.0004738355,0.0001107712,0.009209484,0.007894415,0.5695393,0.0283786,0.2759466,0.1074299],"study_design_scores_gemma":[0.002137732,0.0009979998,0.0001298891,0.000881713,0.0003045712,0.0006636739,0.003530981,0.2798339,0.5526498,0.1320044,0.02613296,0.0007323087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01842524,0.005314887,0.9640132,0.01147299,0.0005311319,0.0001414315,0.00002577412,0.00004410294,0.00003130709],"genre_scores_gemma":[0.1296662,0.00009311544,0.8689475,0.0006398778,0.0003965568,6.647485e-7,0.00002513915,0.00000611834,0.0002248333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2719395,"threshold_uncertainty_score":0.3657204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336450762914995,"score_gpt":0.3749249743171048,"score_spread":0.3315604666879548,"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."}}