{"id":"W3008937627","doi":"10.5539/ells.v10n1p86","title":"An Analysis of Pride and Prejudice from Structuralist Perspective","year":2020,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pride; Theme (computing); Prejudice (legal term); Plot (graphics); Perspective (graphical); Meaning (existential); Epistemology; Sociology; Feminism; Comprehension; Linguistics; Computer science; Psychology; Social psychology; Artificial intelligence; Gender studies; Philosophy; Mathematics; Political science; Law","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":[0.001249372,0.0002450202,0.000207769,0.001196692,0.004637151,0.004087212,0.0004597628,0.000746646,0.001959728],"category_scores_gemma":[0.002561051,0.0001753363,0.0002067437,0.0008256603,0.0162768,0.002323808,0.002939669,0.001708449,0.0001663668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002533636,"about_ca_system_score_gemma":0.0009326614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955718,"about_ca_topic_score_gemma":0.003705117,"domain_scores_codex":[0.9985721,0.0008868817,0.00002720691,0.00008594242,0.0003009436,0.0001268164],"domain_scores_gemma":[0.9984468,0.0009246508,0.0002167306,0.0001445745,0.0001622587,0.0001050136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005726106,0.00004708931,0.004581779,0.0001311912,0.00001632298,0.001075129,0.5142806,0.0004432628,0.002737309,0.4601185,0.001553607,0.014958],"study_design_scores_gemma":[0.00002287881,0.0002193861,0.02751772,0.0003273871,0.00003192054,0.002209123,0.625581,0.002552107,0.004558326,0.1648272,0.1721021,0.00005089197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7232123,0.001066307,0.01556323,0.004192258,0.0001705882,0.00006932204,0.00005071651,0.00004166518,0.2556336],"genre_scores_gemma":[0.9957269,0.0001280552,0.0007696659,0.000072016,0.00001841923,0.00001348255,0.000009360862,0.0000107656,0.003251335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004637151,"threshold_uncertainty_score":0.01838285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170323184030119,"score_gpt":0.2661626327823157,"score_spread":0.2491303143793038,"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."}}