{"id":"W1966805543","doi":"10.2139/ssrn.1002980","title":"Promotion Tournaments and Individual Performance Pay","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Download; Promotion (chess); Computer science; World Wide Web; Internet privacy; Advertising; Business; Political science; Law","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":[0.003044527,0.0002893818,0.0005840019,0.0009012561,0.0009990518,0.00367803,0.0004248508,0.001561122,0.0216915],"category_scores_gemma":[0.01297343,0.0003085439,0.0003521911,0.000867427,0.0009068025,0.0009488725,0.001186293,0.001599482,0.001301634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007299185,"about_ca_system_score_gemma":0.0004663839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222711,"about_ca_topic_score_gemma":0.002237519,"domain_scores_codex":[0.9988748,0.000596682,0.00004437348,0.0001019081,0.00009178339,0.0002903368],"domain_scores_gemma":[0.9784095,0.01129706,0.003887055,0.0009763502,0.0006722319,0.004757666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007268632,0.009496008,0.8237108,0.0001667321,0.0004929831,0.0005573452,0.001818902,0.004869849,0.002322632,0.05831869,0.006300395,0.08467705],"study_design_scores_gemma":[0.0004412867,0.001595896,0.9301542,0.00003133358,0.0001599294,0.0002498068,0.00250302,0.005989194,0.0003801343,0.0549077,0.003531585,0.00005584227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811895,0.0003138973,0.0004392339,0.000575186,0.00004957302,0.00001874094,0.00006823842,0.00001851928,0.01732701],"genre_scores_gemma":[0.997066,0.00004621155,0.00007158872,0.00006498701,0.00002483527,0.000008314014,0.00003127447,0.000003909318,0.002683066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0216915,"threshold_uncertainty_score":0.07256532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591521747502662,"score_gpt":0.3075875847348588,"score_spread":0.2816723672598321,"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."}}