{"id":"W4415023654","doi":"10.64731/jla.v25i2.285836","title":"อทธพลของภาษาในเดกไทยปฐมวยกบการจำแนกประเภทดานเพศสถานะ","year":2025,"lang":"th","type":"article","venue":"วารสารศิลปศาสตร์ มหาวิทยาลัยธรรมศาสตร์","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007842795,0.0004624841,0.0001697838,0.0007829093,0.002643378,0.004400081,0.0005311737,0.001021861,0.1591977],"category_scores_gemma":[0.001687245,0.0002092269,0.0003785507,0.0006832278,0.001613205,0.002132463,0.001319286,0.001467096,0.06632156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002403253,"about_ca_system_score_gemma":0.003488273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00986582,"about_ca_topic_score_gemma":0.01116284,"domain_scores_codex":[0.9992188,0.0001332573,0.00004080873,0.0001246136,0.000316607,0.0001657917],"domain_scores_gemma":[0.9992338,0.00007553538,0.00005630572,0.00007128395,0.0004266384,0.0001362711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001520933,0.0001473679,0.003236201,0.0002024821,0.00002503469,0.0003025515,0.004201614,0.0005574514,0.003529729,0.5799232,0.1682736,0.2394487],"study_design_scores_gemma":[0.00001248745,0.00005527294,0.003392623,0.0001056665,0.00001222484,0.0001800866,0.002479735,0.0001496942,0.001797391,0.02945406,0.9623324,0.00002844703],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01143445,0.0005127272,0.00416354,0.003727313,0.001180293,0.0001186553,0.0003792975,0.0001988995,0.9782848],"genre_scores_gemma":[0.1413662,0.001128377,0.007784584,0.002114609,0.0004150843,0.0001879973,0.0006628286,0.0001393357,0.8462011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1591977,"threshold_uncertainty_score":0.5325694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004598742493760505,"score_gpt":0.2085744662178204,"score_spread":0.2039757237240599,"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."}}