{"id":"W7008316625","doi":"","title":"Better under pressure: how great leaders bring out the best in themselves and others","year":2011,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Unrest; Set (abstract data type); Order (exchange); Politics; Profit (economics); Motivated reasoning; Resizing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004094543,0.0005529971,0.0003909406,0.001285613,0.008964549,0.01975979,0.001211722,0.002937209,0.007195998],"category_scores_gemma":[0.0114425,0.0003030289,0.0002674453,0.001155896,0.0141677,0.01291844,0.004263509,0.004791752,0.003257826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002509954,"about_ca_system_score_gemma":0.004181257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003151715,"about_ca_topic_score_gemma":0.009086304,"domain_scores_codex":[0.9917328,0.004658584,0.0001435961,0.0007930196,0.001465346,0.001206523],"domain_scores_gemma":[0.991513,0.00148867,0.001002136,0.0004966624,0.001295705,0.004204015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007074581,0.0002571298,0.01486083,0.0004607851,0.00007314196,0.000596114,0.3723619,0.0001538923,0.001822157,0.1193779,0.3406261,0.1493394],"study_design_scores_gemma":[0.00002480992,0.0001129462,0.01193316,0.0004721056,0.00002843034,0.0005421407,0.3218127,0.0001571577,0.0007461733,0.05203208,0.6120328,0.0001054162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1576578,0.02660603,0.01027205,0.3303579,0.009123545,0.000192368,0.000220437,0.0006476347,0.4649223],"genre_scores_gemma":[0.8365899,0.009631073,0.004308505,0.05859347,0.001970683,0.000138649,0.0001523391,0.0004585008,0.08815677],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01975979,"threshold_uncertainty_score":0.02407306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161644058733287,"score_gpt":0.2768355724307299,"score_spread":0.215219131843397,"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."}}