{"id":"W2945128318","doi":"10.30603/al.v4i1.561","title":"FUNCTIONAL TEXT ANALYSIS OF OATH FOR ENGINEERS: ITS META-FUNCTIONS AND LINGUISTIC CHARACTERISTICS","year":2019,"lang":"en","type":"article","venue":"Al-Lisan","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oath; Linguistics; Obligation; Interpersonal communication; Cadastre; Psychology; Epistemology; Sociology; Philosophy; Social psychology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009679569,0.0001364653,0.0003027141,0.0002506761,0.00002528867,0.00001858248,0.00005271415,0.00004549162,0.0005589555],"category_scores_gemma":[0.00008303747,0.0001303542,0.0001315817,0.0003840842,0.000008539906,0.00004522183,0.00001003839,0.00007165045,0.00003441213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003340419,"about_ca_system_score_gemma":0.00001972775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002790159,"about_ca_topic_score_gemma":0.000002459451,"domain_scores_codex":[0.9993683,0.000004573628,0.000229241,0.0001460326,0.0001084296,0.0001434302],"domain_scores_gemma":[0.9995375,0.0001049222,0.00003409667,0.0001493675,0.0001052911,0.00006882597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005847223,0.0006080138,0.03221905,0.002381288,0.0720728,0.000003657888,0.007323314,0.7504445,0.02776239,0.03074586,0.06843758,0.007943027],"study_design_scores_gemma":[0.0007279434,0.00008896257,0.2947305,0.00004394426,0.009755828,0.000006082626,0.0004346195,0.5016153,0.001419544,0.00003692193,0.1902988,0.0008416346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181333,0.001345717,0.07204449,0.0002168882,0.003911202,0.0005612524,0.0003025409,0.0003991298,0.003085493],"genre_scores_gemma":[0.9970259,0.00004213975,0.0009702795,0.00004676931,0.00007024586,0.00006799406,0.0002131498,0.00002308308,0.00154041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2625114,"threshold_uncertainty_score":0.6120171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900511371420237,"score_gpt":0.2288414284140749,"score_spread":0.2098363146998725,"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."}}