{"id":"W4251152314","doi":"10.1002/9781118445112.stat04317.pub2","title":"Claim Number Processes","year":2016,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","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; Econometrics; Stochastic process; Random variable; Variable (mathematics); Process (computing); Stochastic modelling; Economics; Mathematics; Financial economics; Statistics; Computer science","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":[0.004053268,0.001149168,0.001154757,0.002080528,0.0009792527,0.004122459,0.002488599,0.002863531,0.01973347],"category_scores_gemma":[0.01625896,0.0004245579,0.001263308,0.001882572,0.002545806,0.006200437,0.001654114,0.002552995,0.003130309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988166,"about_ca_system_score_gemma":0.000807808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002483089,"about_ca_topic_score_gemma":0.001088512,"domain_scores_codex":[0.9971002,0.0007549635,0.0001480377,0.0007712744,0.0009463506,0.0002792337],"domain_scores_gemma":[0.9903616,0.005956251,0.001494786,0.0007629153,0.001067214,0.0003572259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005620455,0.00007268389,0.002013814,0.00005743829,0.0000238436,0.0001745326,0.0001784233,0.05223164,0.0005945719,0.930926,0.003214502,0.01045627],"study_design_scores_gemma":[0.00003581283,0.0000514128,0.001165845,0.00005438598,0.00002141684,0.000197332,0.00006140627,0.3056517,0.0003701912,0.6864275,0.005923184,0.00003968299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1210139,0.002305918,0.7785414,0.005054483,0.000422511,0.0002723987,0.002412706,0.0007838932,0.08919279],"genre_scores_gemma":[0.9168036,0.001703448,0.02853957,0.0002991922,0.0004829383,0.0002685804,0.001306449,0.0001261065,0.05047016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01973347,"threshold_uncertainty_score":0.06601501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159566566540874,"score_gpt":0.4437752793545206,"score_spread":0.2842087128136466,"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."}}