{"id":"W4410875456","doi":"10.5267/j.dsl.2025.3.009","title":"Evaluating women’s happiness levels with ARASsort: The case of Türkiye","year":2025,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Gender Studies and Social Issues","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Happiness; Mathematics; Psychology; Humanities; Philosophy; Social psychology","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":[0.001537385,0.00045086,0.0003623313,0.001829207,0.000873833,0.00125109,0.0005714655,0.0005196196,0.001594043],"category_scores_gemma":[0.002532421,0.0001180319,0.0005488346,0.003096492,0.0005007861,0.0006487546,0.0006917815,0.0003545783,0.0002798303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905843,"about_ca_system_score_gemma":0.0007076427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03811254,"about_ca_topic_score_gemma":0.04092481,"domain_scores_codex":[0.9995077,0.0002349816,0.00002770119,0.00005866742,0.00007394631,0.0000970696],"domain_scores_gemma":[0.9991869,0.0004395554,0.00008948968,0.00004392442,0.0001891547,0.0000510283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001552614,0.0007901354,0.8254979,0.0003827805,0.0002410548,0.005287369,0.006949502,0.034798,0.001798551,0.007002064,0.007854545,0.1078455],"study_design_scores_gemma":[0.00008992802,0.001037078,0.713644,0.0002037281,0.0002271798,0.0009859862,0.07818802,0.1808684,0.003184553,0.004463119,0.01697909,0.0001288688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964503,0.0001573946,0.0007775959,0.0001442195,0.00000978456,0.00003512396,0.0006952025,0.00001169808,0.001718662],"genre_scores_gemma":[0.9943008,0.0001480272,0.003277777,0.00002920744,0.000008272104,0.00008086167,0.001434453,0.000005240963,0.0007151718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03811254,"threshold_uncertainty_score":0.07578135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09949914704502594,"score_gpt":0.4505385267942897,"score_spread":0.3510393797492638,"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."}}