{"id":"W4415413814","doi":"10.59188/eduvest.v5i10.52163","title":"The Influence of Firm-Specific, Industry-Specific, Macroeconomic Factors, and Risk-Based Capital (RBC) on the Profitability of Life Insurance Companies in Indonesia","year":2025,"lang":"","type":"article","venue":"Eduvest - Journal Of Universal Studies","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life insurance; Profitability index; Solvency; Market liquidity; Financial statement; General insurance; Yield (engineering); Capital (architecture); Capital structure","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":[],"consensus_categories":[],"category_scores_codex":[0.0005379231,0.000172565,0.0002280587,0.0009405064,0.0002908067,0.00154113,0.0002439398,0.0002866821,0.001325753],"category_scores_gemma":[0.002172779,0.0001043258,0.0002645653,0.0008893577,0.0002868081,0.0005156636,0.0005727608,0.0006034801,0.0002365703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009699922,"about_ca_system_score_gemma":0.000724146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333508,"about_ca_topic_score_gemma":0.02178366,"domain_scores_codex":[0.9995686,0.0000724229,0.00004835524,0.00006440799,0.0001322553,0.0001138327],"domain_scores_gemma":[0.9952194,0.0009909626,0.002733811,0.00008305778,0.0003721201,0.0006005195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002598069,0.00004115397,0.9954433,0.00001266404,0.00003642063,0.0002622181,0.0001027162,0.0003727947,0.0001333479,0.0001586904,0.0001713096,0.003239189],"study_design_scores_gemma":[9.894984e-7,0.00002397351,0.9980405,0.000009271099,0.00001882092,0.00009683694,0.000406203,0.0008252901,0.000112773,0.00008813783,0.0003737397,0.000003575582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969097,0.0005456287,0.000100913,0.0001838163,0.000004636786,0.000006361152,0.0002189344,0.000003152394,0.002026991],"genre_scores_gemma":[0.9991946,0.0002337018,0.00005152976,0.00001464261,0.000007368774,0.000001704895,0.0001618615,9.510123e-7,0.0003337751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01333508,"threshold_uncertainty_score":0.02651495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748987891129719,"score_gpt":0.2300932537872822,"score_spread":0.202603374875985,"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."}}