{"id":"W2076082959","doi":"10.1007/s11205-010-9607-6","title":"Effect of Changes in Living Conditions on Well-Being: A Prospective Top–Down Bottom–Up Model","year":2010,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"York University; Kwansei Gakuin University","keywords":"Quality of Life Research; Top-down and bottom-up design; Human geography; Public health; Environmental science; Environmental health; Geography; Medicine; Computer science; Economic geography; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003541101,0.000186547,0.0003457729,0.0009925999,0.0004214818,0.00003508396,0.0003462643,0.0005610493,0.001705828],"category_scores_gemma":[0.0008037266,0.0001644171,0.0001089221,0.001232214,0.0006344938,0.0000570092,0.00008559755,0.002524647,0.0003896671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303107,"about_ca_system_score_gemma":0.000065263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004293008,"about_ca_topic_score_gemma":0.0002541486,"domain_scores_codex":[0.9965924,0.001233911,0.0002788779,0.0005629137,0.0006165801,0.0007152978],"domain_scores_gemma":[0.9976659,0.001651054,0.0001194282,0.0003353851,0.00008233649,0.0001459014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001299125,0.001529706,0.6007576,0.0001417873,0.0002345717,0.00004890945,0.05516125,0.00001864702,0.02677357,0.2727593,0.0129918,0.02828373],"study_design_scores_gemma":[0.002155789,0.00289342,0.9443728,0.0001358374,0.00002937399,0.000006796668,0.002150225,0.0002181387,0.01435553,0.03241075,0.0007723208,0.0004990668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283445,0.00001039709,0.000009165296,0.0005347626,0.000543477,0.0006324466,0.00001552283,0.000064138,0.1698457],"genre_scores_gemma":[0.9970157,0.000008602911,0.00001205759,0.00007688272,0.0003857216,0.0004565426,0.000009328585,0.00003101257,0.002004224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3436152,"threshold_uncertainty_score":0.9997765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552266260366376,"score_gpt":0.4399458875023051,"score_spread":0.4044232248986414,"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."}}