{"id":"W2992420505","doi":"10.22148/16.056","title":"Annotation Guideline No. 5: Annotation Guidelines for Narrative Levels and Narrative Acts","year":2019,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Annotation; Plot (graphics); Conjunction (astronomy); Guideline; Task (project management); Computer science; Narrative criticism; Natural language processing; Information retrieval; Narrative inquiry; Linguistics; Artificial intelligence; Political science; Engineering; Mathematics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02278046,0.001389732,0.001602765,0.008335207,0.00522602,0.006457365,0.00360652,0.006072878,0.03800856],"category_scores_gemma":[0.09387158,0.001795478,0.001269806,0.004706867,0.003471878,0.006433053,0.005107583,0.005224267,0.03906385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0033285,"about_ca_system_score_gemma":0.009403546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01822044,"about_ca_topic_score_gemma":0.02786844,"domain_scores_codex":[0.9787394,0.007329023,0.006199338,0.002134023,0.004457238,0.001141097],"domain_scores_gemma":[0.8771055,0.03772457,0.004216862,0.01481195,0.06449036,0.001650731],"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":[0.0002996327,0.0001800007,0.002006218,0.003942425,0.00003382577,0.000977776,0.01940093,0.0007459729,0.0183511,0.07809082,0.7592967,0.1166746],"study_design_scores_gemma":[0.00003368699,0.00002313249,0.001997483,0.001866095,0.00003359511,0.0003234135,0.002064404,0.001281099,0.006628926,0.01695928,0.9686882,0.0001005792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01348262,0.001481817,0.6344794,0.01728991,0.00784718,0.01440894,0.06467737,0.02262889,0.2237038],"genre_scores_gemma":[0.04789977,0.001508582,0.7207044,0.008364479,0.001144984,0.02744641,0.07611427,0.01223065,0.1045865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03800856,"threshold_uncertainty_score":0.1271513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06077488116399827,"score_gpt":0.3818520536210641,"score_spread":0.3210771724570658,"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."}}