{"id":"W1467449265","doi":"","title":"Thematic Organization in English Popular Psychology Texts and Their Corresponding Persian Translations","year":2014,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Cohesion (chemistry); Persian; Linguistics; Thematic structure; Thematic map; Focus (optics); Thematic analysis; Computer science; Function (biology); Psychology; Qualitative research; Sociology; Social science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0004102716,0.0001164515,0.0003705327,0.0002044017,0.0002472782,0.00002849232,0.00007818895,0.00004392807,0.00002360449],"category_scores_gemma":[0.0002295996,0.00007618084,0.00002719033,0.00009101968,0.0003017653,0.000129733,0.00003060033,0.0002675528,7.185261e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009003454,"about_ca_system_score_gemma":0.000005778512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.278755e-7,"about_ca_topic_score_gemma":0.00002395178,"domain_scores_codex":[0.9992884,0.00004201337,0.0003598856,0.0001040193,0.00008779046,0.0001178274],"domain_scores_gemma":[0.9994596,0.0001459804,0.0002104965,0.00004958447,0.0001068024,0.00002757825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002951604,0.0000380649,0.004396046,0.00007490734,0.0004696765,0.00000191881,0.8025233,0.00002766763,0.0005939499,0.1709177,0.001555779,0.0193715],"study_design_scores_gemma":[0.00140671,0.0001302567,0.003062823,0.0003238778,0.0003780071,0.00002640429,0.9568061,0.00006371516,0.0001407851,0.02614411,0.01119791,0.0003192607],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744852,0.01229033,0.0003781125,0.001585377,0.0002219281,0.00009352041,0.000002811675,0.00001529049,0.01092744],"genre_scores_gemma":[0.9965923,0.002509503,0.00007557426,0.0002470384,0.0004584421,0.000002098511,8.245921e-7,0.000009613569,0.0001046193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1542828,"threshold_uncertainty_score":0.3106565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056934444950112,"score_gpt":0.3027145364876248,"score_spread":0.2721451920381237,"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."}}