{"id":"W2136953389","doi":"10.2139/ssrn.1029914","title":"Well-Being and Ill-Being: A Bivariate Panel Data Analysis","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bivariate analysis; Econometrics; Affect (linguistics); Panel data; Happiness; Well-being; Context (archaeology); Multivariate statistics; Economics; Multivariate analysis; Subjective well-being; Panel analysis; British Household Panel Survey; Psychology; Demographic economics; Mathematics; Social psychology; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006581434,0.0008996075,0.001498595,0.001537796,0.001546846,0.001311067,0.0008245045,0.001178464,0.008356984],"category_scores_gemma":[0.01052464,0.00097038,0.002618834,0.002886227,0.0009048458,0.001209626,0.001698051,0.003074124,0.00120123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006185079,"about_ca_system_score_gemma":0.00136743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801183,"about_ca_topic_score_gemma":0.01724342,"domain_scores_codex":[0.9953897,0.00333635,0.0001869787,0.0003531608,0.0002354525,0.0004983488],"domain_scores_gemma":[0.9836965,0.01107916,0.001728019,0.001537076,0.0006108748,0.001348333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004468374,0.0006025577,0.992573,0.00002291505,0.0008633122,0.0001717811,0.0006999308,0.001264736,0.0002018301,0.000290216,0.0006754785,0.002187456],"study_design_scores_gemma":[0.00003704504,0.0009280578,0.986039,0.00003854099,0.0007112338,0.0002828905,0.002648962,0.007825371,0.0002375197,0.0004086059,0.000798706,0.00004386986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996421,0.0001681232,0.001230554,0.0001800407,0.00001968959,0.00002868906,0.001568076,0.00001405631,0.0003697488],"genre_scores_gemma":[0.996749,0.0001472224,0.0005412365,0.00003802297,0.00001971432,0.00006651053,0.001839313,0.00000887875,0.0005901007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01801183,"threshold_uncertainty_score":0.03581399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283789993033596,"score_gpt":0.3277542735262358,"score_spread":0.2993752742228762,"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."}}