{"id":"W4392744301","doi":"10.59876/a-8hak-bwq4","title":"The Human Equation, Building Profits by Putting People First","year":2005,"lang":"en","type":"article","venue":"Management international","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Computer science; Sociology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002850919,0.0001220571,0.0001251843,0.0002230052,0.0009657683,0.001435187,0.001524032,0.00002539777,0.0007529565],"category_scores_gemma":[0.0005526234,0.00008147176,0.00009801718,0.0003941055,0.00002798358,0.0003802557,0.0005959803,0.00008305713,0.0006464316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130958,"about_ca_system_score_gemma":0.000006036342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003055634,"about_ca_topic_score_gemma":0.000215007,"domain_scores_codex":[0.9963278,0.000055839,0.000790844,0.0004289553,0.002163192,0.0002333517],"domain_scores_gemma":[0.9980522,0.0008225635,0.0003446195,0.0004508545,0.0002787365,0.00005101742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005151011,0.00003795298,0.0139338,0.000002180301,0.00004510949,0.000001984465,0.0002238062,0.001675545,0.00007132391,0.4122037,0.463776,0.1080234],"study_design_scores_gemma":[0.0002612223,0.00000756338,0.01261222,0.0000215465,0.000003937869,0.00000277666,0.0004535825,0.03673181,0.00003579463,0.03907752,0.9106916,0.0001003844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1268605,0.0006627648,0.5058754,0.0343522,0.003837579,0.001090325,0.00002765201,0.0002336914,0.3270598],"genre_scores_gemma":[0.9556489,0.000004816297,0.004460853,0.0002865509,0.0003993689,0.0000471472,0.000005351861,0.00001063411,0.03913637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8287884,"threshold_uncertainty_score":0.9996014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070357819631627,"score_gpt":0.3930149414928327,"score_spread":0.28597915952967,"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."}}