{"id":"W4231337224","doi":"10.1002/div.2911","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; General insurance; Income protection insurance; Plan (archaeology); Financial services; Insurance policy; Economics; Economic growth; Health care; Multinational corporation; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003684581,0.0005648112,0.0003892092,0.002105424,0.0005628354,0.002257244,0.0007552113,0.0008087395,0.7513418],"category_scores_gemma":[0.001870105,0.0005302388,0.0002670499,0.002365106,0.00033274,0.00191776,0.001213047,0.0008089041,0.576406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005969458,"about_ca_system_score_gemma":0.001386513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007095682,"about_ca_topic_score_gemma":0.02063053,"domain_scores_codex":[0.9995621,0.00002481906,0.00002634795,0.000104343,0.0002383816,0.00004400449],"domain_scores_gemma":[0.9988081,0.0001663671,0.0001123236,0.0002612166,0.0003770246,0.0002750377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006775637,0.00004696552,0.0008352748,0.0001950577,0.000005396733,0.00008226073,0.00008035961,0.00009523212,0.0006087914,0.007588361,0.7407963,0.2495982],"study_design_scores_gemma":[0.00001097726,0.000012944,0.001162496,0.00008754253,0.000004254725,0.0001444799,0.00004034092,0.0001466897,0.0002213953,0.001234831,0.9969291,0.000004987559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001245281,0.001469165,0.002326135,0.0009873214,0.0002625266,0.00006741482,0.008753921,0.004266353,0.9806219],"genre_scores_gemma":[0.004782634,0.001235879,0.001452839,0.0002737519,0.00006518487,0.00004252247,0.00489546,0.0008327843,0.9864189],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7513418,"threshold_uncertainty_score":0.3546807,"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."}}