{"id":"W2299966911","doi":"","title":"Net Investment and Stocks of Human Capital in the United States, 1975-2013","year":2016,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Business; Economics; Monetary economics; Capital investment; Finance; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004666756,0.0001280546,0.0001401526,0.0003890092,0.00007338823,0.00008769958,0.0002707414,0.00003038907,0.00008614676],"category_scores_gemma":[0.0001622093,0.00008025999,0.00004080204,0.0003113154,0.0001200343,0.0007628601,0.0001473041,0.00007495393,0.00002454829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004035334,"about_ca_system_score_gemma":0.000007865193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006360781,"about_ca_topic_score_gemma":0.0005655528,"domain_scores_codex":[0.9988946,0.00002968177,0.0002650067,0.0002705722,0.0003996788,0.0001404835],"domain_scores_gemma":[0.9992639,0.00005559665,0.0002124848,0.0002171987,0.0002434737,0.000007288249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005851796,0.0003292795,0.9642356,0.00003956139,0.0000324715,0.000007239852,0.0003759433,0.00004115428,0.005924527,0.02215698,0.005619754,0.001178978],"study_design_scores_gemma":[0.0007576914,0.00004055646,0.9337811,0.0001171335,0.00004378658,0.000001711498,0.0001723607,0.0006305238,0.0009493098,0.01731437,0.04594743,0.0002439713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995299,0.00003860375,0.000009718191,0.003715767,0.0003041516,0.0002373848,0.00001178331,0.000024719,0.0003588516],"genre_scores_gemma":[0.9981548,0.00001395619,0.00003337509,0.0003479767,0.0009275607,0.00002424556,0.00008062027,0.00001059428,0.000406872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04032768,"threshold_uncertainty_score":0.961564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168394922391233,"score_gpt":0.2476000735509701,"score_spread":0.2307605813118468,"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."}}