{"id":"W7041632273","doi":"","title":"The Last Actuary","year":2020,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Actuary; Competition (biology); Product (mathematics); Big data; New product development; Business model","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":[0.008269127,0.0009574937,0.001267506,0.002301419,0.009597275,0.02066424,0.002134347,0.00817274,0.1030864],"category_scores_gemma":[0.03363819,0.0008421515,0.001106607,0.001473801,0.003680023,0.005135015,0.004750642,0.01029411,0.05002355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009523039,"about_ca_system_score_gemma":0.01103337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985402,"about_ca_topic_score_gemma":0.0349253,"domain_scores_codex":[0.9862168,0.001640908,0.000720553,0.001736011,0.007503782,0.002181952],"domain_scores_gemma":[0.9766913,0.005035769,0.0008452074,0.001868966,0.01018605,0.005372729],"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":[0.00004787229,0.00001291613,0.0002425782,0.00005838875,0.000004772548,0.00009234501,0.0002858992,0.00004630883,0.0001415966,0.03638708,0.9498388,0.01284145],"study_design_scores_gemma":[0.000003802499,0.00001260537,0.0002543602,0.00004567351,0.000002180543,0.00003748679,0.0001843865,0.00004795594,0.00007048912,0.001321877,0.9980087,0.00001044791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002903858,0.008055273,0.001971228,0.1657187,0.1341717,0.0001272031,0.001031174,0.0004777864,0.685543],"genre_scores_gemma":[0.02036631,0.00108866,0.0006601654,0.01929271,0.008516928,0.00007192604,0.0002322252,0.0002803009,0.9494908],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1030864,"threshold_uncertainty_score":0.3448585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08300520191676089,"score_gpt":0.3493408164778205,"score_spread":0.2663356145610596,"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."}}