{"id":"W6911324376","doi":"10.5255/ukda-sn-7155-7","title":"MQ5: Investment by Insurance Companies, Pension Funds and Trusts, 1997-2021: 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":"Pension; Balance sheet; 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":[0.001855381,0.001058834,0.0004906204,0.005237676,0.0004003873,0.002631205,0.001289227,0.0008178985,0.1224966],"category_scores_gemma":[0.007759619,0.0006555386,0.0005820831,0.009064515,0.0001870741,0.002357933,0.002005387,0.0006647906,0.06741595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087405,"about_ca_system_score_gemma":0.00299921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0730819,"about_ca_topic_score_gemma":0.04230165,"domain_scores_codex":[0.9980501,0.0001706008,0.0003426616,0.0002357598,0.0008774898,0.0003234545],"domain_scores_gemma":[0.9964449,0.0002864783,0.000842294,0.000270745,0.001710637,0.0004449936],"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":[0.0001285208,0.00001776393,0.007771106,0.0003461182,0.00001788897,0.00002651704,0.0001389731,0.0002173571,0.00008925805,0.001878864,0.9747259,0.01464177],"study_design_scores_gemma":[0.00007537165,0.00006455627,0.1035348,0.0004595647,0.00002388562,0.00006359538,0.0003392111,0.0006170204,0.0003745283,0.0007751213,0.8936465,0.00002586817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002837068,0.0003431404,0.0002383863,0.0003119506,0.00006094636,0.00008035389,0.97603,0.0006843035,0.01941383],"genre_scores_gemma":[0.01762566,0.0004276225,0.000764258,0.0001241667,0.00005341778,0.0002634245,0.9502466,0.0003728474,0.03012199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1224966,"threshold_uncertainty_score":0.4097919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927103902165083,"score_gpt":0.310620182085456,"score_spread":0.2613491430638052,"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."}}