{"id":"W2344120720","doi":"10.1051/shsconf/20162601073","title":"Determinants of life satisfaction in Canada: A causal modeling approach","year":2016,"lang":"en","type":"article","venue":"SHS Web of Conferences","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Life satisfaction; Psychology; Socioeconomic status; Causal model; Path analysis (statistics); Construct (python library); Social psychology; Variety (cybernetics); Developmental psychology; Demography; Sociology; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002272768,0.0001138121,0.0003200644,0.000106376,0.0000185773,0.000003575648,0.0001237159,0.0001041668,0.0005604435],"category_scores_gemma":[0.00008767777,0.0000762682,0.00003572592,0.000116404,0.00006994003,0.00006065216,0.00001516996,0.00009505996,0.000007246464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005424909,"about_ca_system_score_gemma":0.00363967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8873704,"about_ca_topic_score_gemma":0.7271146,"domain_scores_codex":[0.9987246,0.000138456,0.0004732554,0.0002490529,0.0001991287,0.0002154746],"domain_scores_gemma":[0.9993417,0.0001437002,0.0002003798,0.0001883004,0.00005831615,0.00006758542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00014153,0.00003552346,0.9493886,0.00001645098,0.00001866721,0.000001983417,0.00007161916,0.00006364246,0.0007043555,0.009331962,0.0001049635,0.04012069],"study_design_scores_gemma":[0.0008315619,0.0001094177,0.9929463,0.00009323117,0.00001015812,0.000003936526,0.0008464303,0.003490553,0.0002278603,0.001081955,0.0002163337,0.0001422847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197469,0.00008128892,0.0008704833,0.00005538648,0.0004464503,0.000100994,0.00001784625,0.00001222252,0.07866839],"genre_scores_gemma":[0.9997191,0.00004204855,0.00008248181,0.00002979138,0.00003642917,0.00001666617,0.000001206759,0.000005960223,0.00006625724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602559,"threshold_uncertainty_score":0.6456618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05156320731347785,"score_gpt":0.3000608861688907,"score_spread":0.2484976788554129,"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."}}