{"id":"W2065631333","doi":"10.1177/0170840614550730","title":"The Calculation of Age","year":2014,"lang":"en","type":"article","venue":"Organization Studies","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Construct (python library); Agency (philosophy); Order (exchange); Capital (architecture); Corporate governance; Investment (military); Population; Politics; Economics; Population ageing; Sociology; Finance; Political science; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005079024,0.00003153511,0.00006218981,0.00000905016,0.000624285,0.00002042564,0.00006632027,0.00001589352,0.00002197951],"category_scores_gemma":[0.001609334,0.00002134772,0.00001187325,0.0002418222,0.0002658437,0.00004278945,0.00002708441,0.0000130166,0.00001132189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004272329,"about_ca_system_score_gemma":0.00001425818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001111656,"about_ca_topic_score_gemma":0.0006844353,"domain_scores_codex":[0.9994392,0.0001138995,0.0001150259,0.00006284236,0.0001937661,0.00007531147],"domain_scores_gemma":[0.9994433,0.0001362818,0.00005676438,0.00008265919,0.0002668056,0.0000142109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003108968,0.00005537109,0.6197237,0.00003340348,0.00007303235,8.172584e-8,0.08876914,0.00004313095,0.0004471234,0.2716488,0.01064623,0.00855687],"study_design_scores_gemma":[0.0004718011,0.00008871773,0.6098035,0.00004118989,0.00008351228,9.764471e-8,0.07257387,0.00003230461,0.004276011,0.02933037,0.2830178,0.0002808284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503633,0.0004738774,0.002324157,0.008766668,0.0008630661,0.0003827801,8.649346e-7,0.0001038327,0.03672149],"genre_scores_gemma":[0.998197,0.0004419672,0.00003056335,0.00004552676,0.00009409689,0.000002312902,0.000001558205,0.000003563329,0.001183428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2723716,"threshold_uncertainty_score":0.4801558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1892278707810166,"score_gpt":0.4323899976837509,"score_spread":0.2431621269027343,"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."}}