{"id":"W7110971517","doi":"10.7251/zjf2514514l","title":"ULOGA RASTA PREMIJA ŽIVOTNOG I NEŽIVOTNOG OSIGURANJA U EKONOMSKOM RASTU ZEMALJA EVROSPKE UNIJE: PANEL ARDL ANALIZA","year":2025,"lang":"","type":"article","venue":"ZBORNIK RADOVA JAHORINA POSLOVNI FORUM","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Panel data; Quarter (Canadian coin); Life insurance; European union; Capital (architecture)","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":[0.002223851,0.000372596,0.000820236,0.002478636,0.0003480552,0.003870786,0.0004875317,0.0004946466,0.009699482],"category_scores_gemma":[0.005378011,0.0002930014,0.0007662975,0.002986473,0.0005019375,0.00188599,0.00173692,0.001086081,0.001773216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000785331,"about_ca_system_score_gemma":0.001288265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009004173,"about_ca_topic_score_gemma":0.006338558,"domain_scores_codex":[0.9989724,0.0002724216,0.00009655934,0.0002638451,0.000252703,0.0001421002],"domain_scores_gemma":[0.998028,0.001006114,0.0003481853,0.0002449784,0.0003019373,0.00007066575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000570184,0.0003759855,0.3357653,0.001541159,0.001211458,0.001104523,0.005597246,0.09207058,0.004840351,0.0615647,0.01918111,0.4761775],"study_design_scores_gemma":[0.00009012991,0.0003662267,0.5934565,0.001589985,0.001129565,0.0009250577,0.01113466,0.1620406,0.008077614,0.07082128,0.150124,0.0002444022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7883885,0.006244211,0.1446766,0.001758107,0.0001874773,0.0002017341,0.01282276,0.001077783,0.04464278],"genre_scores_gemma":[0.9626333,0.002205323,0.02251579,0.00009266482,0.00005640681,0.00009464119,0.004528915,0.0002731278,0.007599783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009699482,"threshold_uncertainty_score":0.03244805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275759987820196,"score_gpt":0.2326110843420521,"score_spread":0.2098534844638502,"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."}}