{"id":"W2258745159","doi":"10.1080/10920277.2007.10597487","title":"Risk Classification for Claim Counts","year":2007,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Econometrics; Portfolio; Sample (material); Statistics; Statistical hypothesis testing; Actuarial science; Zero (linguistics); Hausman test; Mathematics; Computer science; Economics; Panel data; Fixed effects model; Financial economics","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":[0.01736183,0.001203563,0.001411037,0.004752718,0.0008610065,0.003501462,0.002812526,0.001923423,0.00682603],"category_scores_gemma":[0.07666881,0.0003980516,0.002061078,0.002329454,0.001647222,0.003330948,0.00164081,0.002270471,0.001897136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977298,"about_ca_system_score_gemma":0.001256877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361686,"about_ca_topic_score_gemma":0.001011755,"domain_scores_codex":[0.9862813,0.006058122,0.0008836057,0.002428418,0.003474265,0.0008742022],"domain_scores_gemma":[0.933781,0.05198777,0.004258377,0.006306574,0.003072377,0.0005939648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009876698,0.0004143474,0.1043893,0.0004018576,0.0003730796,0.0004023462,0.001280278,0.2246979,0.001297755,0.3278954,0.01163424,0.3262258],"study_design_scores_gemma":[0.00003740589,0.0001449169,0.01445407,0.0001463428,0.00007382455,0.0003318136,0.0002038326,0.8472912,0.0005334291,0.1329177,0.003806825,0.0000585593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1868278,0.001666042,0.7966334,0.001588595,0.0002751583,0.0004112538,0.001837478,0.001169801,0.009590495],"genre_scores_gemma":[0.8335457,0.00069782,0.1546677,0.0001759954,0.0003740583,0.0004902113,0.003635767,0.0002837541,0.006129012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01736183,"threshold_uncertainty_score":0.09181923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1165297374672574,"score_gpt":0.4060110805139168,"score_spread":0.2894813430466593,"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."}}