{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003594926,0.0006148624,0.001027959,0.002706313,0.003340509,0.003902189,0.00108597,0.001883095,0.3496318],"category_scores_gemma":[0.01825788,0.0003946381,0.0005144216,0.001630908,0.0005336595,0.001546405,0.002864123,0.00324472,0.2286199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860254,"about_ca_system_score_gemma":0.005633844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004901813,"about_ca_topic_score_gemma":0.01028034,"domain_scores_codex":[0.9960912,0.0004287422,0.0002281502,0.0003536946,0.002138328,0.0007599134],"domain_scores_gemma":[0.9877161,0.001299145,0.0006099097,0.0009814854,0.004694773,0.004698584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003885676,0.00004240876,0.0007161555,0.00002718837,0.00000357422,0.00002983243,0.00003323075,0.0000404592,0.0001098834,0.007163892,0.9530987,0.03869578],"study_design_scores_gemma":[0.00000973757,0.0000424204,0.002635909,0.00003514652,0.000002647172,0.00007136042,0.00005135459,0.0001491239,0.00006956809,0.001365821,0.9955596,0.000007211684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006666797,0.006175315,0.003302226,0.05274157,0.02939843,0.0003283491,0.01731572,0.002340435,0.8817311],"genre_scores_gemma":[0.02413674,0.002477383,0.0008321627,0.004906243,0.004098229,0.000162815,0.007305524,0.0004621105,0.9556188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3496318,"threshold_uncertainty_score":0.9276713,"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."}}