{"id":"W4408533861","doi":"10.5430/wjel.v15n4p243","title":"The Many Faces of Masculinity: Wolves, Sheep and the Path to True Manhood in The Kite Runner","year":2025,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kite; Masculinity; Path (computing); Computer science; Mathematics; Gender studies; Geometry; Sociology","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":[0.001343863,0.0002928986,0.0002399983,0.0005145719,0.009606658,0.004515756,0.0004352838,0.0009337185,0.002104492],"category_scores_gemma":[0.001264892,0.0002499064,0.0001001119,0.0004994065,0.01948694,0.003305142,0.002791194,0.001417495,0.0002605064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000997782,"about_ca_system_score_gemma":0.0008819258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003180474,"about_ca_topic_score_gemma":0.01347637,"domain_scores_codex":[0.9988721,0.0008304392,0.00001937236,0.00006621069,0.0001267921,0.00008494748],"domain_scores_gemma":[0.9995236,0.0002264825,0.00008111589,0.00003232092,0.00005215047,0.00008418726],"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":[0.00002935632,0.00001530816,0.002089896,0.00008560045,0.000005177583,0.00117937,0.9062327,0.00003118658,0.0008951925,0.07321335,0.002623327,0.01359958],"study_design_scores_gemma":[0.000003294984,0.00005629592,0.005297611,0.0002219745,0.00000886792,0.001371222,0.8513436,0.00006194039,0.0006070996,0.008926744,0.1320798,0.00002151495],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8205877,0.01129963,0.002738894,0.01579463,0.0003111848,0.0000260297,0.0000233811,0.0000308702,0.1491877],"genre_scores_gemma":[0.9872316,0.001255261,0.0006175648,0.0005994469,0.00004181392,0.00000739849,0.000004078387,0.00001454623,0.01022839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009606658,"threshold_uncertainty_score":0.007239461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004904278315909285,"score_gpt":0.2225728906201618,"score_spread":0.2176686123042525,"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."}}