{"id":"W1937306995","doi":"10.2139/ssrn.2443216","title":"Incentive Contracts for Teams: Experimental Evidence","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Business; Industrial organization; Microeconomics; 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":[0.04064665,0.001015843,0.001748427,0.001201023,0.002500895,0.003710802,0.002225199,0.00486871,0.03616354],"category_scores_gemma":[0.1874129,0.0008035157,0.0008701208,0.001258452,0.00319471,0.004552905,0.002003859,0.003386322,0.002209313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128229,"about_ca_system_score_gemma":0.002500508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351261,"about_ca_topic_score_gemma":0.0009145113,"domain_scores_codex":[0.9836464,0.01143855,0.0007413358,0.001124488,0.002015613,0.001033738],"domain_scores_gemma":[0.4947157,0.4175041,0.04567094,0.02706105,0.006789521,0.008258753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.04109228,0.03487026,0.1656702,0.004842605,0.002580143,0.0009672158,0.005764655,0.03847634,0.004058861,0.3558951,0.02516657,0.3206158],"study_design_scores_gemma":[0.02561871,0.01505966,0.1370673,0.001727898,0.001614477,0.0008976782,0.004757897,0.07052672,0.003997452,0.7083702,0.03005539,0.0003066388],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122599,0.003046156,0.0210469,0.004954672,0.0004662382,0.0005873844,0.0004695823,0.0001091707,0.0570601],"genre_scores_gemma":[0.9922351,0.0007279218,0.002988315,0.0004649809,0.000179652,0.0003052355,0.0001338241,0.00002424158,0.002940635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04064665,"threshold_uncertainty_score":0.2149625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676008710021405,"score_gpt":0.3532767164920996,"score_spread":0.3265166293918855,"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."}}