{"id":"W4392555130","doi":"10.5430/wjel.v14n3p253","title":"Linguistic Personality of the Marvel Cinematic Universe Character Nebula: Narrative and LIWC Analyses","year":2024,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Narrative; Nebula; Personality; Psychology; Universe; Linguistics; Astrophysics; Social psychology; Philosophy; Physics; Stars; Mathematics; Geometry","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":[0.001290596,0.000149833,0.0001279046,0.002146657,0.0009738759,0.002619538,0.0002302971,0.0002406649,0.001664503],"category_scores_gemma":[0.00800836,0.0001191718,0.00011349,0.001045578,0.001260838,0.0009921654,0.001254249,0.0003979224,0.0001430165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212826,"about_ca_system_score_gemma":0.0002986384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002318691,"about_ca_topic_score_gemma":0.003157284,"domain_scores_codex":[0.9992403,0.0004454188,0.0000486009,0.00008884748,0.0001060421,0.0000709029],"domain_scores_gemma":[0.995321,0.002440817,0.001011709,0.0002036662,0.000611803,0.0004109982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001893012,0.0001068714,0.2737939,0.0001399116,0.00003554585,0.0007584681,0.6838496,0.0001036295,0.007111866,0.00360717,0.0006378219,0.02966592],"study_design_scores_gemma":[0.000004051669,0.00008597755,0.644754,0.00005065888,0.00002045286,0.0006283624,0.3453569,0.000678567,0.000979058,0.0007176295,0.006700385,0.00002396069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959617,0.0000651279,0.0002881899,0.00006979878,0.000003402595,0.00001232182,0.00003626221,0.000003393638,0.003559753],"genre_scores_gemma":[0.9988343,0.00005252615,0.0002490029,0.00001346256,0.000006552766,0.0000127043,0.00005223023,0.000003507162,0.0007756878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002619538,"threshold_uncertainty_score":0.006825387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540681350459828,"score_gpt":0.3797388523871087,"score_spread":0.3443320388825105,"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."}}