{"id":"W4399800103","doi":"10.21606/drs.2024.145","title":"Design for Wellbeing and Happiness","year":2024,"lang":"en","type":"article","venue":"Proceedings of DRS","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Happiness; Computer science; Psychology; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003280024,0.000090294,0.0001277038,0.00009280265,0.00004601865,0.00004557178,0.0000672637,0.00009356945,0.00007132738],"category_scores_gemma":[0.00005137977,0.00007591994,0.00003812501,0.000141278,0.0000521995,0.000093255,0.00001257293,0.00009155074,0.00002010279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008678139,"about_ca_system_score_gemma":0.00000450281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273381,"about_ca_topic_score_gemma":9.212366e-8,"domain_scores_codex":[0.9993313,0.00000378924,0.0001580325,0.0002723864,0.00006637568,0.0001681026],"domain_scores_gemma":[0.9996841,0.0001428926,0.0000419236,0.0000333367,0.00005438763,0.0000433703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006013846,0.0001721094,0.009720643,0.001272866,0.0003695129,0.000006444633,0.009408675,0.000007329114,0.1624674,0.5100487,0.08643861,0.2194864],"study_design_scores_gemma":[0.004921902,0.003894704,0.130779,0.001863194,0.0005892215,0.000360055,0.008830819,0.006432349,0.05409338,0.4486986,0.3374994,0.002037283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435643,0.002047679,0.01608413,0.001416274,0.001622757,0.0006720655,0.000005367649,0.0003868964,0.1342005],"genre_scores_gemma":[0.9948519,0.00003276739,0.003116856,0.00006985671,0.0001621983,0.00007199646,8.191642e-7,0.00001684161,0.001676706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2510608,"threshold_uncertainty_score":0.3095925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03942903716697705,"score_gpt":0.3287553335131919,"score_spread":0.2893262963462148,"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."}}