{"id":"W4244422941","doi":"10.1017/s0515036100001665","title":"Actuarial Vacancy","year":2001,"lang":"ca","type":"article","venue":"Astin Bulletin","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Content (measure theory); Vacancy defect; Computer science; Business; Mathematics; Physics; Mathematical analysis; Nuclear magnetic resonance","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001885571,0.0004902838,0.0005316222,0.0002262465,0.001101017,0.0003567525,0.001033769,0.0003521277,0.02492531],"category_scores_gemma":[0.0004038927,0.0005356655,0.0004057491,0.001065198,0.000682249,0.0001156268,0.000292535,0.0005432292,0.009144218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785413,"about_ca_system_score_gemma":0.0001619577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007831186,"about_ca_topic_score_gemma":0.001420051,"domain_scores_codex":[0.994936,0.0006674011,0.0007499647,0.0009231336,0.00132695,0.001396513],"domain_scores_gemma":[0.9980665,0.0002878546,0.0003795282,0.0007024764,0.0002060162,0.0003576236],"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":[0.00030528,0.0007635449,0.1367006,0.0001132976,0.0004007456,0.0004590272,0.007052294,0.00007229451,0.00002890909,0.04319036,0.6936242,0.1172895],"study_design_scores_gemma":[0.0008800234,0.0001210408,0.08356191,0.00009051808,0.0001360746,0.000004300131,0.001718115,0.0000207197,0.00000934359,0.001402586,0.9114758,0.0005795565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2079717,0.001738663,0.0005239594,0.03069726,0.00956458,0.001477274,0.0000532314,0.0004172757,0.747556],"genre_scores_gemma":[0.9580255,0.002700702,0.0006902312,0.001606149,0.00433776,0.00006566321,0.00001901437,0.00006671043,0.03248833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7500538,"threshold_uncertainty_score":0.9997095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825893804013504,"score_gpt":0.2836850318330115,"score_spread":0.2654260937928765,"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."}}