{"id":"W4239140018","doi":"10.1002/div.3325","title":"Great‐West Lifeco Inc.","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinsurance; Subsidiary; Life insurance; Business; Finance; Health insurance; Actuarial science; Financial services; General insurance; Income protection insurance; Insurance policy; Economics; Economic growth; Health care; Multinational corporation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004359992,0.0002165686,0.0003448369,0.0002254564,0.0002045946,0.00006571539,0.0003588509,0.00009036197,0.003251851],"category_scores_gemma":[0.00005164081,0.0002516515,0.0001676342,0.0002599918,0.00004990001,0.0004526096,0.0001266096,0.000170114,0.01325956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001350509,"about_ca_system_score_gemma":0.00001126825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004190801,"about_ca_topic_score_gemma":0.0002132388,"domain_scores_codex":[0.9983966,0.00001222646,0.0005821012,0.0004644749,0.00007684105,0.0004677254],"domain_scores_gemma":[0.999206,0.00001688759,0.0002336634,0.0004063084,0.00001596774,0.0001211505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005140133,0.0003466189,0.4006099,0.00005342287,0.0001991041,0.00002140195,0.0007912698,0.00107001,0.00002010277,0.4744901,0.08100604,0.04134066],"study_design_scores_gemma":[0.0004498202,0.00004480581,0.1520659,0.000009684398,0.0000102478,9.385511e-7,0.00002658199,0.0003109655,0.00005324151,0.004001577,0.8426959,0.000330294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8037732,0.006290716,0.005020339,0.009754908,0.003668878,0.0007095056,0.0003550522,0.0002787414,0.1701487],"genre_scores_gemma":[0.9910551,0.001340352,0.0005670725,0.001317553,0.0005631559,0.00003845886,0.00003582428,0.00003367352,0.0050488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7616899,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609006095229474,"score_gpt":0.2171477592373446,"score_spread":0.1910576982850498,"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."}}