{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004792077,0.0003683003,0.0007577314,0.0009054053,0.000210834,0.0001890933,0.004688532,0.0004210632,0.005229623],"category_scores_gemma":[0.006071182,0.0002531284,0.000234875,0.002193701,0.003076416,0.00054352,0.0006937869,0.0003769535,0.0008080062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640534,"about_ca_system_score_gemma":0.002825165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112756,"about_ca_topic_score_gemma":0.0002921609,"domain_scores_codex":[0.9925179,0.0001280964,0.0009447811,0.00139951,0.004345768,0.0006639528],"domain_scores_gemma":[0.996103,0.0004978857,0.0009141066,0.001818491,0.0003205285,0.0003459653],"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":[0.0001488982,0.0007135055,0.001400613,0.00009856454,0.00005146861,0.0000442838,0.00564788,0.0007836003,0.0004915922,0.08614038,0.7984202,0.106059],"study_design_scores_gemma":[0.0003902193,0.0001004184,0.0005481304,0.0001101285,0.00001963742,0.000005375812,0.00006617964,0.0000376088,0.0002092827,0.08648695,0.9116338,0.000392196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001051744,0.0002805456,0.002999431,0.0003261566,0.004802164,0.0005726922,0.00008766876,0.0001253345,0.9897543],"genre_scores_gemma":[0.04269927,0.0008956513,0.007892279,0.0001208528,0.002031959,0.00002528201,0.00000587225,0.0001868378,0.946142],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1132137,"threshold_uncertainty_score":0.9999921,"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."}}