{"id":"W6967299812","doi":"10.5255/ukda-sn-7155-12","title":"MQ5: Investment by Insurance Companies, Pension Funds and Trusts, 1997-2023: Secure Access","year":2023,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance sheet; Pension; Quarter (Canadian coin); Investment (military); Unit (ring theory); Life insurance; Unit trust","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001765508,0.001038086,0.0004885813,0.005032794,0.0003926757,0.002582299,0.001223254,0.0007918846,0.1247085],"category_scores_gemma":[0.00731818,0.0006406613,0.0005763136,0.009137623,0.000179276,0.002217561,0.001936997,0.0006437236,0.071584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034657,"about_ca_system_score_gemma":0.002998942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07288176,"about_ca_topic_score_gemma":0.04294426,"domain_scores_codex":[0.998178,0.0001509303,0.0003253331,0.000219143,0.0008183391,0.0003083434],"domain_scores_gemma":[0.9966749,0.0002624764,0.0007733394,0.0002545523,0.001623834,0.0004109225],"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":[0.0001300615,0.00001717167,0.007316697,0.0003319049,0.00001706553,0.00002678697,0.000128146,0.0002065777,0.00009091503,0.001666359,0.9757668,0.01430146],"study_design_scores_gemma":[0.0000774954,0.00006005262,0.1019507,0.0004352335,0.00002309832,0.00006424404,0.0003221361,0.0005943836,0.0003870611,0.0007629151,0.8952972,0.00002548957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002626887,0.0003192229,0.0002204615,0.0002929743,0.00005942055,0.00007523936,0.9774015,0.0006708909,0.01833338],"genre_scores_gemma":[0.01684773,0.0004222744,0.0007328905,0.0001201648,0.00005290172,0.0002515392,0.9510776,0.0003801735,0.03011472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1247085,"threshold_uncertainty_score":0.4171915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0678578008722006,"score_gpt":0.3280376389044186,"score_spread":0.260179838032218,"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."}}