{"id":"W2956070714","doi":"10.2308/jmar-52479","title":"Performance Incentives, Divergent Thinking Training, and Creative Problem Solving","year":2019,"lang":"en","type":"article","venue":"Journal of Management Accounting Research","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Convergent thinking; Divergent thinking; Creativity; Incentive; Creative problem-solving; Wage; Training (meteorology); Creative thinking; Psychology; Economics; Microeconomics; Cognitive psychology; Social psychology; Labour economics","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":[0.004483894,0.0004901829,0.0004219848,0.0006593299,0.0005096177,0.001710453,0.0006163236,0.0007709619,0.006142812],"category_scores_gemma":[0.0293945,0.0002466727,0.0002161018,0.0004768301,0.001285334,0.001211323,0.001469933,0.001141286,0.0002728496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008367411,"about_ca_system_score_gemma":0.0006685994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003744553,"about_ca_topic_score_gemma":0.0002785226,"domain_scores_codex":[0.9975469,0.001450154,0.0001351579,0.0001641971,0.0005185092,0.000185074],"domain_scores_gemma":[0.9484525,0.03482739,0.01043851,0.002192724,0.001116726,0.002972085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01996834,0.04528491,0.3598466,0.001409752,0.0005163818,0.0009112947,0.004586208,0.03482874,0.1102768,0.1334185,0.002881679,0.2860708],"study_design_scores_gemma":[0.002216104,0.01055999,0.7640516,0.0003308842,0.000209325,0.0004227002,0.001669599,0.05668896,0.02168603,0.1378586,0.004108535,0.000197697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910062,0.00009652846,0.001682186,0.0002717337,0.00001521439,0.0000498893,0.00002262967,0.0000167376,0.006838881],"genre_scores_gemma":[0.9980752,0.00003888145,0.001283408,0.00004693963,0.000007774362,0.0000349513,0.00001492695,0.000003861278,0.000494046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006142812,"threshold_uncertainty_score":0.02371335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07994997959707,"score_gpt":0.3840159547195735,"score_spread":0.3040659751225035,"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."}}