{"id":"W1572254050","doi":"10.1002/9780470012505.tas038","title":"Stop‐Loss Premium","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Insurance premium; Actuarial science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006074792,0.0003969625,0.0003595146,0.001052259,0.0002860926,0.001800225,0.0005780375,0.000928995,0.03768024],"category_scores_gemma":[0.0031483,0.00008588731,0.0002861139,0.0005116389,0.0003093132,0.001055081,0.0005969853,0.001162993,0.00536638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005694933,"about_ca_system_score_gemma":0.0003500675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000652871,"about_ca_topic_score_gemma":0.0005535597,"domain_scores_codex":[0.9992101,0.00005475041,0.00001625983,0.0000752671,0.0005372307,0.0001062843],"domain_scores_gemma":[0.9988016,0.0004738813,0.0001989285,0.00009578467,0.0002599336,0.0001698939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006846448,0.0004863972,0.01609135,0.0002723922,0.00009108474,0.00109967,0.0003317747,0.008135244,0.009931809,0.3814222,0.1277544,0.4536991],"study_design_scores_gemma":[0.000141827,0.0009539727,0.1097489,0.0004364847,0.0001860897,0.004263988,0.0007190499,0.04589789,0.01321697,0.2177047,0.6065888,0.0001412598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2097308,0.01017794,0.03734047,0.005264053,0.001588639,0.0001037237,0.002920223,0.00103046,0.7318437],"genre_scores_gemma":[0.8803605,0.002245244,0.002429367,0.0004480344,0.000959484,0.0000256884,0.001147633,0.0001015839,0.1122824],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03768024,"threshold_uncertainty_score":0.126053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04009207936521714,"score_gpt":0.3519942742290664,"score_spread":0.3119021948638493,"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."}}