{"id":"W4253099263","doi":"10.1007/978-1-4614-6170-8_100145","title":"Human Capital","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Social and Demographic Issues in Germany","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002495608,0.0002533837,0.0004238508,0.0001186245,0.0008265796,0.000004604932,0.0002074022,0.001035837,0.03508335],"category_scores_gemma":[0.00001473589,0.0002109466,0.0001959248,0.00001449709,0.000136178,0.00001573255,0.0001597232,0.00111637,0.01217515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005185081,"about_ca_system_score_gemma":0.00006304027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001220467,"about_ca_topic_score_gemma":0.0002022971,"domain_scores_codex":[0.9986053,0.00004909311,0.0004566456,0.0002810033,0.0002545431,0.0003534403],"domain_scores_gemma":[0.9989985,0.0001401376,0.0002265853,0.000395426,0.000118636,0.0001207418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001296891,0.000002010747,0.0001148731,0.0000645014,0.00002747873,0.000004153868,0.0006408428,6.09392e-9,0.000001797307,0.8203867,0.178227,0.0005293235],"study_design_scores_gemma":[0.0001476091,0.00002628747,0.0001711521,0.0001279284,0.00002900332,3.421933e-7,0.00009031251,1.917279e-7,2.403482e-7,0.2588393,0.7403637,0.0002038865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000288364,0.0001967801,0.00005011498,0.0002719614,0.001739028,0.0004127267,0.00001395915,0.0003012173,0.9967259],"genre_scores_gemma":[0.01280262,0.0000338896,0.0000669539,0.002553113,0.003274803,0.00002648235,0.00006022821,0.00007370772,0.9811082],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5621367,"threshold_uncertainty_score":0.988594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728908663459067,"score_gpt":0.3973442162679089,"score_spread":0.3400551296333182,"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."}}