{"id":"W7161690743","doi":"10.59236/emro.v27i7a382","title":"Agent of Happiness","year":2025,"lang":"","type":"article","venue":"Educational Media Reviews Online","topic":"South Asian Cinema and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Happiness; Government (linguistics); Index (typography); Bureaucracy; Centenarian; Orange (colour)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003055029,0.0003280407,0.0008007275,0.0001904363,0.0002077857,0.00006042115,0.0003986303,0.0001064205,0.01986599],"category_scores_gemma":[0.001029851,0.0002554657,0.0003500617,0.0002985906,0.0003342473,0.0001050793,0.00005950352,0.0002692499,0.0003898602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005867249,"about_ca_system_score_gemma":0.0007706576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003087016,"about_ca_topic_score_gemma":0.0002463729,"domain_scores_codex":[0.9976947,0.0001463978,0.001258121,0.0003597471,0.0002836558,0.0002574336],"domain_scores_gemma":[0.9981475,0.0002724076,0.0004749736,0.0004600967,0.0005135435,0.0001314971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002583321,0.002040759,0.000891311,0.002873203,0.0001655776,7.955048e-7,0.02593837,0.000001078196,0.00003450978,0.5530958,0.362257,0.05267583],"study_design_scores_gemma":[0.0003388893,0.00002466059,0.007329601,0.00262785,0.0002767731,0.000001467594,0.005093524,0.00000905859,0.00001252232,0.006553714,0.9775199,0.0002119908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01710122,0.7495539,0.00003345973,0.1037708,0.02509216,0.002051297,0.001698835,0.00003079862,0.1006676],"genre_scores_gemma":[0.3263839,0.1297479,0.003867859,0.01203484,0.03678166,0.0007183515,0.007145745,0.0001100071,0.4832098],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.619806,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05059293161445524,"score_gpt":0.3267598823668775,"score_spread":0.2761669507524223,"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."}}