{"id":"W7100471437","doi":"","title":"Lifecycle Asset Accumulation and Allocation in Canada.” Canadian","year":2005,"lang":"en","type":"article","venue":"","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Asset allocation; Asset management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002913139,0.00003705476,0.00002781299,0.00002271877,0.00002212358,0.000007071522,0.00002126974,0.00003834706,0.00003956924],"category_scores_gemma":[0.00001018924,0.00003680632,0.000004546281,0.00002860102,0.000004192034,0.00000291238,0.000006738537,0.0000238309,0.00000230717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007300609,"about_ca_system_score_gemma":0.0003004622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976474,"about_ca_topic_score_gemma":0.9998552,"domain_scores_codex":[0.9997281,0.000007945096,0.00005495704,0.00009464099,0.00003108721,0.0000832315],"domain_scores_gemma":[0.9998537,0.000001485387,0.000009889624,0.00006581959,0.00001274447,0.0000563594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006386276,0.00001716546,0.5637684,0.0000133545,0.00003388306,0.000003613349,0.0001092109,0.005788585,0.1814112,0.001200476,0.05295111,0.1946392],"study_design_scores_gemma":[0.0002487576,0.00002366632,0.7657514,0.000001847445,0.000002915992,0.000005934404,0.00006535846,0.003690275,0.009423428,0.00002745076,0.2206471,0.000111913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955232,0.00005360506,0.00005493219,0.0009023224,0.00004432342,0.00004445841,0.000002647488,0.000001824102,0.003372653],"genre_scores_gemma":[0.9984174,0.00001574576,0.0002393295,0.0009748077,0.0000897349,0.000001353059,0.00006438752,0.000004140634,0.0001931398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.201983,"threshold_uncertainty_score":0.1500918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007006238568182411,"score_gpt":0.2175096467009043,"score_spread":0.2105034081327219,"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."}}