{"id":"W2733034566","doi":"10.6000/1929-7092.2017.06.42","title":"European Insurance Markets in Face of Financial Crisis: Application of Learning Curve Concept as a Tool of Insurance Products Innovation – Discussion","year":2017,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Product (mathematics); Point (geometry); Financial crisis; Insurance law; Business; Insurance industry; Financial market; Actuarial science; Economics; Insurance policy; Finance; General insurance; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002789167,0.000197114,0.001133344,0.000237651,0.00007601218,0.00003083161,0.0006097437,0.00008520571,0.000006746805],"category_scores_gemma":[0.001658718,0.0001774332,0.0001971366,0.0003559828,0.0001024693,0.0005965653,0.00009161304,0.0002487259,0.0000303742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613568,"about_ca_system_score_gemma":0.00007228614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008459866,"about_ca_topic_score_gemma":0.00001710276,"domain_scores_codex":[0.9965268,0.00008849303,0.00283169,0.0002962966,0.00006757725,0.0001891493],"domain_scores_gemma":[0.9903746,0.00002033192,0.008805139,0.0005318442,0.0002392148,0.00002884815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005549043,0.0004691164,0.5902946,0.0006391737,0.00004371695,0.000004014795,0.0005486748,0.002750834,0.00006893055,0.1106629,0.0005257612,0.2934374],"study_design_scores_gemma":[0.001367781,0.0004273564,0.9048004,0.0007558875,0.00001051958,0.000003907968,0.00006610439,0.0001618536,0.0004169996,0.005994949,0.08574554,0.0002486859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865631,0.005773665,0.001342008,0.0005256323,0.0004526691,0.0005555272,0.0001436873,0.000002711611,0.00464097],"genre_scores_gemma":[0.9815521,0.01762293,0.0005662295,0.00007898986,0.0001075648,0.000007583943,0.000005248653,0.00001403135,0.0000452765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3145058,"threshold_uncertainty_score":0.7235516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258613815168755,"score_gpt":0.2655497114855381,"score_spread":0.2396883299686626,"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."}}