{"id":"W6892391617","doi":"10.5255/ukda-sn-7155-8","title":"MQ5: Investment by Insurance Companies, Pension Funds and Trusts, 1997-2022: Secure Access","year":2022,"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; Investment (military); Quarter (Canadian coin); Unit (ring theory); Unit trust; Life insurance; Survey data collection","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":[0.001757854,0.001065393,0.0004922656,0.005308722,0.0003972652,0.002609252,0.001228426,0.000800018,0.1209097],"category_scores_gemma":[0.007379062,0.0006623391,0.0005669038,0.009414213,0.0001810003,0.002233049,0.001934837,0.0006544504,0.06854252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019708,"about_ca_system_score_gemma":0.002938678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07499571,"about_ca_topic_score_gemma":0.04467357,"domain_scores_codex":[0.9981445,0.0001544453,0.0003278487,0.0002266018,0.0008340225,0.0003126425],"domain_scores_gemma":[0.9965834,0.0002701739,0.0008088977,0.0002603265,0.001662801,0.0004144375],"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":[0.0001330364,0.00001769486,0.007792552,0.0003336982,0.0000178174,0.00002837392,0.0001346097,0.0002110157,0.00008807541,0.001631081,0.975466,0.01414603],"study_design_scores_gemma":[0.00007823015,0.00006220146,0.1110455,0.0004371336,0.00002402807,0.00006666907,0.0003444701,0.0005916657,0.0003772484,0.0007258521,0.8862213,0.00002574087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002789237,0.0003391044,0.0002093228,0.000294998,0.00006014358,0.0000725264,0.9777251,0.0006461628,0.01786328],"genre_scores_gemma":[0.01719718,0.0004267586,0.0006888888,0.0001153906,0.00005366888,0.0002477358,0.950141,0.0003632343,0.03076608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1209097,"threshold_uncertainty_score":0.4044833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04820749720514432,"score_gpt":0.3106357141061966,"score_spread":0.2624282169010522,"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."}}