{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006014067,0.0005059477,0.0003199873,0.0005949354,0.002411401,0.005433301,0.0003727978,0.0009849599,0.09918679],"category_scores_gemma":[0.001648229,0.0002001123,0.0002631881,0.0004650803,0.001093103,0.002924285,0.003697633,0.001898201,0.02373254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208739,"about_ca_system_score_gemma":0.0008272597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473365,"about_ca_topic_score_gemma":0.002684016,"domain_scores_codex":[0.9994372,0.0001948161,0.00002696796,0.0001067343,0.0001338764,0.0001004109],"domain_scores_gemma":[0.9995271,0.00006877416,0.0000563187,0.00004157083,0.0001062373,0.0001999367],"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":[0.0001734893,0.00004768053,0.001458226,0.0003969016,0.00001871553,0.0003806985,0.01199558,0.00005675432,0.002036474,0.09800165,0.7459739,0.1394599],"study_design_scores_gemma":[0.000004513201,0.00001401096,0.0009637903,0.00005782154,0.000003300187,0.0000881696,0.002189215,0.00002990108,0.0001698018,0.001900784,0.9945742,0.000004388178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01004929,0.007143492,0.003938776,0.02759766,0.008524872,0.000203644,0.001266086,0.0004126963,0.9408634],"genre_scores_gemma":[0.1275717,0.00599669,0.002447798,0.004387948,0.002971914,0.0002353543,0.001225999,0.0004263775,0.8547363],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09918679,"threshold_uncertainty_score":0.3318129,"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."}}