{"id":"W1524650971","doi":"10.1002/mde.2566","title":"Status Incentives and Performance","year":2012,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Incentive; Earnings; Task (project management); Preference; Rank (graph theory); Investment (military); Economics; Field (mathematics); Microeconomics; Finance; Political science; Management; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004268941,0.0004629925,0.0003371821,0.0008934273,0.0008011246,0.002329316,0.0002570971,0.000807527,0.009615975],"category_scores_gemma":[0.01763923,0.0001475818,0.0001861421,0.0005523692,0.001250022,0.001261633,0.001402455,0.0005567311,0.0009734032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000823795,"about_ca_system_score_gemma":0.0005844875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006492504,"about_ca_topic_score_gemma":0.0007590016,"domain_scores_codex":[0.9977077,0.001073257,0.0001399326,0.0002206147,0.0005883121,0.0002701832],"domain_scores_gemma":[0.9835916,0.006543913,0.005266397,0.00106064,0.001005539,0.002531865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00442187,0.005401102,0.4629231,0.0008783432,0.0002968376,0.0003989426,0.00486089,0.008620249,0.03220661,0.211425,0.006623649,0.2619434],"study_design_scores_gemma":[0.0003093575,0.005534662,0.8325758,0.0002061173,0.0001098078,0.000274089,0.00203689,0.008570798,0.005252141,0.1309347,0.01406118,0.0001344277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474911,0.0006203646,0.002824339,0.0007766691,0.0000596069,0.0000659592,0.0001414442,0.00002571033,0.04799469],"genre_scores_gemma":[0.9966316,0.0001529892,0.0006008849,0.00006009915,0.00002672337,0.00002453827,0.00004585778,0.000005455662,0.002451835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009615975,"threshold_uncertainty_score":0.03216869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147272269470319,"score_gpt":0.3047976738363163,"score_spread":0.2733249511416131,"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."}}