{"id":"W2793984091","doi":"","title":"Redrawing the boundaries of societal memory, introducing a modified macro-appraisal approach at the Great-West Life Assurance and London Life Insurance companies","year":2000,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macro; Life insurance; Business; Political science; Regional science; Sociology; Actuarial science; Computer science","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":[0.005941261,0.0004201414,0.0002626913,0.002789197,0.01011528,0.01291322,0.001286437,0.001110265,0.005357584],"category_scores_gemma":[0.009465215,0.0003500297,0.0002295435,0.001989641,0.01539019,0.005317075,0.004821258,0.002407497,0.0004223466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03760014,"about_ca_system_score_gemma":0.02254924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3196895,"about_ca_topic_score_gemma":0.5759986,"domain_scores_codex":[0.995678,0.002644517,0.0001458442,0.0003035405,0.0007030262,0.0005250415],"domain_scores_gemma":[0.9925896,0.003787846,0.0004622937,0.0006221515,0.001519427,0.001018704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009668041,0.00004287771,0.009688764,0.00024837,0.0000106238,0.0005142443,0.4330382,0.0004976204,0.001126441,0.4215086,0.01569414,0.1175336],"study_design_scores_gemma":[0.0000332838,0.00009414201,0.02729545,0.0005824264,0.00002816595,0.0002907908,0.4088118,0.001516758,0.00179212,0.06180885,0.4976574,0.00008888511],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4303852,0.007611498,0.02625894,0.06225285,0.0007102895,0.0004934961,0.0001959853,0.0002361999,0.4718555],"genre_scores_gemma":[0.9352294,0.001796781,0.01117216,0.001164489,0.0001252831,0.0002279043,0.00004543404,0.00008532934,0.05015321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3196895,"threshold_uncertainty_score":0.6356573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153875536376572,"score_gpt":0.2931695534406922,"score_spread":0.2616307980769265,"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."}}