{"id":"W3001536763","doi":"10.22148/001c.11773","title":"Annotation Guideline No. 8: Annotation Guidelines for Narrative Levels","year":2020,"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; Phenomenon; Set (abstract data type); Class (philosophy); Value (mathematics); Perspective (graphical); Element (criminal law); Linguistics; Mathematics education; Computer science; Psychology; Epistemology; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004354024,0.0001483162,0.0002756423,0.00007998366,0.000104606,0.0002056244,0.0006164727,0.00006796995,0.000007760695],"category_scores_gemma":[0.003003391,0.00009656382,0.0001683311,0.0004337459,0.0000266371,0.00142358,0.00005992758,0.0001809218,0.000004748842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005501456,"about_ca_system_score_gemma":0.0001106235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002423275,"about_ca_topic_score_gemma":0.000001345252,"domain_scores_codex":[0.9983051,0.00003792361,0.0009344236,0.0001654967,0.0004051417,0.0001519169],"domain_scores_gemma":[0.9897891,0.00006407198,0.000875493,0.0001036281,0.009051025,0.0001166825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001919486,0.0000757649,0.00004919371,0.0001490274,0.0002332576,0.00005923936,0.01995984,0.005392575,0.099157,0.01227084,0.7774481,0.08501324],"study_design_scores_gemma":[0.00164328,0.001628342,0.00006560163,0.0002399458,0.0001421184,0.0001605763,0.002030762,0.8211997,0.0545569,0.0488481,0.06881979,0.000664941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002275307,0.0008446167,0.9527644,0.04363333,0.0002401209,0.0001213561,0.00000753058,0.00007747996,0.00003587447],"genre_scores_gemma":[0.1201877,0.00002462147,0.8738388,0.004864298,0.0009043166,0.000001621566,0.000008731329,0.000007638376,0.0001621766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.815807,"threshold_uncertainty_score":0.3937759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214185467744917,"score_gpt":0.3977763826092004,"score_spread":0.2763578358347087,"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."}}