{"id":"W2993877978","doi":"10.22148/16.057","title":"Annotating Narrative Levels: Review of Guideline No. 4","year":2019,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Annotation; Perspective (graphical); Guideline; Computer science; Narrative review; World Wide Web; Psychology; Linguistics; Political science; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007785962,0.00009923708,0.0003919522,0.00005373114,0.00002761624,0.00003321781,0.0005955379,0.00003052572,0.00007387405],"category_scores_gemma":[0.0004512952,0.00006177182,0.0001856482,0.0002642547,0.00001637287,0.0005892965,0.00009139079,0.0001909713,0.00002079922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004134421,"about_ca_system_score_gemma":0.0001014849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003301335,"about_ca_topic_score_gemma":5.594176e-7,"domain_scores_codex":[0.9981869,0.00005455836,0.001060751,0.0001091624,0.0004616998,0.0001268858],"domain_scores_gemma":[0.9965529,0.00005537119,0.000991861,0.0002203874,0.002115107,0.00006440903],"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":[0.000136422,0.0008410515,0.006831062,0.02035408,0.002736251,0.0004296088,0.06693781,0.1095701,0.09053745,0.07336324,0.367832,0.2604309],"study_design_scores_gemma":[0.001719534,0.001033931,0.0005762374,0.01985756,0.0002061609,0.0005991629,0.003341115,0.8926197,0.003237845,0.003187615,0.07286216,0.0007589454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2237478,0.03441896,0.7041692,0.02129116,0.003463421,0.0005463459,0.000009244694,0.00005927144,0.01229459],"genre_scores_gemma":[0.4848477,0.002967637,0.505138,0.00370507,0.0006454561,4.681596e-7,0.000001869785,0.00001139077,0.002682423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7830496,"threshold_uncertainty_score":0.2518982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391653072855011,"score_gpt":0.3325902047802047,"score_spread":0.2786736740516546,"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."}}