{"id":"W2954256503","doi":"","title":"Overcoming the Bright and Dark Side of Leadership: Grey Leadership in an Extreme Context","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Great Rift; Context (archaeology); Computer science; Political science; Physics; Geology; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004430732,0.0002980609,0.0003914592,0.0002481239,0.00037977,0.0008959639,0.00156829,0.000183959,0.0001180656],"category_scores_gemma":[0.001874563,0.0002651396,0.0001317635,0.0001930458,0.0005827674,0.0005975413,0.001318596,0.0006277547,0.00003883963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004593332,"about_ca_system_score_gemma":0.00009449125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005242512,"about_ca_topic_score_gemma":0.05440643,"domain_scores_codex":[0.9974332,0.0008289359,0.0004842452,0.0006145623,0.0002861123,0.0003528725],"domain_scores_gemma":[0.9951074,0.0009595984,0.0007141408,0.001722125,0.001464894,0.00003180576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009591773,0.0008974932,0.165234,0.002320727,0.0001230022,0.00002548272,0.01941424,0.00002986238,0.00331887,0.3136325,0.001537041,0.4933709],"study_design_scores_gemma":[0.003430404,0.000002280732,0.5930631,0.03848337,0.0004678303,0.00002458117,0.0259467,0.05431511,0.05885967,0.09147324,0.1301491,0.003784554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7558928,0.008134481,0.00756698,0.03082841,0.000628086,0.001081185,0.00002178205,0.0001674642,0.1956788],"genre_scores_gemma":[0.995152,0.0001548935,0.0003810723,0.0004153095,0.00009379594,0.00002664161,0.00007232233,0.00003314183,0.003670812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4895864,"threshold_uncertainty_score":0.9999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1348860820226088,"score_gpt":0.2622257427353626,"score_spread":0.1273396607127538,"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."}}