{"id":"W4235808113","doi":"10.1002/9780470012505.tac026","title":"Claim Number Processes","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Portfolio; Actuarial science; Random variable; Econometrics; Stochastic process; Variable (mathematics); Process (computing); Stochastic modelling; Natural (archaeology); Economics; Mathematics; Computer science; Financial economics; Statistics; Geography","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":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003342818,0.0003568086,0.0007110392,0.0005638546,0.0002122813,0.0002237732,0.003996829,0.00038597,0.009817555],"category_scores_gemma":[0.01097147,0.0002393627,0.0001575867,0.003349712,0.002584157,0.0006367427,0.0005215519,0.0003185807,0.001798643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135401,"about_ca_system_score_gemma":0.005091842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009672124,"about_ca_topic_score_gemma":0.0006778475,"domain_scores_codex":[0.9930555,0.0000884461,0.0008888521,0.001306799,0.00405689,0.0006035501],"domain_scores_gemma":[0.9962775,0.0006071651,0.000893892,0.001359265,0.0005621388,0.0003000441],"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":[0.0001001053,0.0006559649,0.002468236,0.000249883,0.00004013188,0.00002293736,0.004148525,0.0002746344,0.0001146369,0.0379904,0.8927352,0.06119928],"study_design_scores_gemma":[0.000294864,0.00005412794,0.0002300756,0.0001477057,0.00001805981,0.000005997157,0.00007428733,0.00001066183,0.0001857186,0.1102224,0.8883948,0.0003612142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000667938,0.0002317769,0.002423968,0.0002558213,0.002785271,0.0004864417,0.00007118354,0.0001251554,0.9929525],"genre_scores_gemma":[0.04023104,0.001550629,0.01138634,0.0001415445,0.001899986,0.00003454044,0.000006641821,0.0002036348,0.9445456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07223205,"threshold_uncertainty_score":0.9989786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04416920431715864,"score_gpt":0.3652465469905806,"score_spread":0.3210773426734219,"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."}}