{"id":"W4392100342","doi":"10.1016/b978-0-443-15497-3.00001-2","title":"Actuarial careers","year":2024,"lang":"es","type":"book-chapter","venue":"Elsevier eBooks","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"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":[0.0007553095,0.0009047135,0.0005030912,0.001547357,0.001297889,0.002654833,0.0005586838,0.001060716,0.2496287],"category_scores_gemma":[0.002352537,0.0004694361,0.0003529653,0.001400738,0.0005736929,0.00170105,0.001503201,0.002424342,0.1681685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000784275,"about_ca_system_score_gemma":0.001037107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330785,"about_ca_topic_score_gemma":0.004580732,"domain_scores_codex":[0.9996363,0.00006146392,0.000018199,0.00006420659,0.0001780887,0.00004181195],"domain_scores_gemma":[0.9995432,0.0001217267,0.00002709219,0.00007171,0.0001598286,0.00007659481],"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":[0.00001809449,0.00003517144,0.0002770348,0.00009151882,0.000004316507,0.00003420885,0.0001415143,0.0003360332,0.0002186805,0.07334606,0.6641173,0.2613802],"study_design_scores_gemma":[0.000001619149,0.000007339261,0.0003753617,0.00006798017,0.000001251843,0.00004106845,0.00002535976,0.0001188414,0.00003365189,0.008687926,0.9906371,0.000002443349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004559449,0.01311858,0.002347788,0.002885107,0.002298003,0.00002330806,0.0004810353,0.0002851595,0.9781051],"genre_scores_gemma":[0.002679226,0.004029064,0.0006903281,0.0003268946,0.0006584848,0.00001989805,0.0002377107,0.00005451585,0.9913039],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2496287,"threshold_uncertainty_score":0.8350912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171655310982754,"score_gpt":0.3748427791679545,"score_spread":0.2576772480696791,"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."}}