{"id":"W4387656560","doi":"10.61462/cujss.v52i1.675","title":"ความคดทางการเมองของจอหน สจวต มลล: วาดวยแนวทางการปองกนทรราชของเสยงขางมาก","year":2022,"lang":"th","type":"article","venue":"วารสารสังคมศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย","topic":"Education, Technology, and Economics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Oxford","keywords":"Mill; Pulp and paper industry; Engineering; History; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.004717393,0.002583253,0.002741262,0.002223185,0.004698117,0.001632127,0.01145101,0.001397835,0.008556745],"category_scores_gemma":[0.000699697,0.003133128,0.0014622,0.004506249,0.001625989,0.002425468,0.00712106,0.004447175,0.005300761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003056141,"about_ca_system_score_gemma":0.003040997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001830223,"about_ca_topic_score_gemma":0.0008888658,"domain_scores_codex":[0.9824374,0.001396797,0.003659331,0.005355188,0.002162322,0.004988947],"domain_scores_gemma":[0.9865205,0.00109142,0.00225277,0.007846716,0.0006827317,0.001605847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005446436,0.007279722,0.05043887,0.0009617726,0.001745558,0.000716223,0.02205205,0.007266189,0.001388869,0.1778304,0.6179824,0.1117933],"study_design_scores_gemma":[0.004866684,0.002529745,0.01227347,0.0002422718,0.0005774614,0.001427344,0.008668622,0.03458747,0.001848373,0.02366723,0.903475,0.005836306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6731951,0.03559541,0.02279643,0.06295252,0.08448872,0.009694476,0.002813359,0.009161931,0.09930202],"genre_scores_gemma":[0.9225293,0.002724758,0.009392804,0.008059261,0.004044977,0.001658063,0.0005846578,0.0006357045,0.05037044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2854926,"threshold_uncertainty_score":0.9998986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561194903871132,"score_gpt":0.2473097520904214,"score_spread":0.2216978030517101,"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."}}