{"id":"W4379470604","doi":"10.5430/wjel.v13n6p270","title":"Narrative Time in Suzanne Collins’ The Hunger Games: A Genettian Perspective","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Narrative Theory and Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Narratology; Perspective (graphical); Narrative structure; Bridging (networking); Order (exchange); Narrative network; Focus (optics); Computer science; Epistemology; Narrative inquiry; Sociology; Narrative criticism; Literature; Art; Philosophy; Artificial intelligence; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009579744,0.000140406,0.0003062406,0.000525819,0.0002198911,0.000126609,0.0002696085,0.00002163777,0.004963036],"category_scores_gemma":[0.0004781396,0.000087563,0.0002093739,0.0004887856,0.0002195519,0.0002429475,0.00003251043,0.0003771691,0.00008636375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008196873,"about_ca_system_score_gemma":0.00005174644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006824932,"about_ca_topic_score_gemma":0.004099688,"domain_scores_codex":[0.9987867,0.000281756,0.0003504935,0.0001243922,0.000232563,0.0002240608],"domain_scores_gemma":[0.9987282,0.0002774823,0.0002395178,0.0001458391,0.0005508493,0.00005817319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007508718,0.00005487376,0.00003682901,0.000003896356,0.0001717876,0.0002035416,0.9569483,0.0001175402,0.0003240298,0.02604902,0.01563907,0.0003759814],"study_design_scores_gemma":[0.0005415964,0.00009461792,0.0001173705,0.0001171552,0.00005878576,0.000002898637,0.9185132,0.00004623381,0.0003148577,0.002279076,0.07776754,0.0001466877],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931776,0.002698607,0.000002120535,0.001940976,0.0005853409,0.0001417435,0.00002324712,0.00004585278,0.1013845],"genre_scores_gemma":[0.9499522,0.00004688869,0.00001683292,0.0002658364,0.0024328,0.000005190632,0.000004695207,0.00001802884,0.04725754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06212847,"threshold_uncertainty_score":0.9959466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190040506291754,"score_gpt":0.2478219454272022,"score_spread":0.2359215403642846,"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."}}