{"id":"W1968881952","doi":"10.5430/jms.v2n3p102","title":"Group Identification Method for Features of Human Capital Inner Quality Structure","year":2011,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Observer (physics); Quality (philosophy); Human capital; Group (periodic table); Computer science; Artificial intelligence; Economics; Epistemology; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002789593,0.0005867276,0.0008831127,0.001364002,0.000612474,0.001007821,0.000974067,0.000899713,0.003288438],"category_scores_gemma":[0.006686134,0.0002207795,0.0009364688,0.0008894235,0.0008133627,0.001976011,0.001133733,0.001076156,0.0003429737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136331,"about_ca_system_score_gemma":0.001440739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137863,"about_ca_topic_score_gemma":0.001981053,"domain_scores_codex":[0.9983054,0.0008055934,0.00005675059,0.0002938209,0.0004219126,0.0001164558],"domain_scores_gemma":[0.9980267,0.001029222,0.0002603869,0.000141739,0.0004634065,0.00007850734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001667443,0.0001718654,0.006762723,0.0002277671,0.0001978833,0.0001840889,0.001170361,0.5563536,0.004106838,0.2263949,0.002859519,0.2014037],"study_design_scores_gemma":[0.0000113291,0.00005377447,0.0009113049,0.0000118629,0.00001979893,0.00003285491,0.0000853374,0.9650392,0.00058954,0.03233662,0.0008875429,0.00002094365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009564786,0.00003793529,0.9884495,0.00007852569,0.00001310895,0.000048106,0.0000163617,0.00005448453,0.001737188],"genre_scores_gemma":[0.7394242,0.000142857,0.2555519,0.00004866654,0.00003713246,0.000438152,0.00009748528,0.00003879072,0.004220813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003288438,"threshold_uncertainty_score":0.01475292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06132357273909107,"score_gpt":0.3353190768958755,"score_spread":0.2739955041567845,"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."}}