{"id":"W3124102801","doi":"10.2139/ssrn.1970489","title":"Productive Versus Destructive Efforts in Contests","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Political science","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":[0.007570209,0.0005976257,0.0007214902,0.001725218,0.001502193,0.006224666,0.0007621988,0.002379639,0.01327255],"category_scores_gemma":[0.0336072,0.0005567584,0.0003642069,0.0009753898,0.00386134,0.00384615,0.003031075,0.001984423,0.0006592683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008675192,"about_ca_system_score_gemma":0.0009034239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006372213,"about_ca_topic_score_gemma":0.001481428,"domain_scores_codex":[0.9953682,0.001986732,0.0002526574,0.0004464973,0.0009750138,0.0009708941],"domain_scores_gemma":[0.956277,0.02733852,0.007405111,0.00287479,0.001592269,0.004512288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004391314,0.00366943,0.1384053,0.0005813535,0.0002797689,0.0007426193,0.01572128,0.007219967,0.02073642,0.7337499,0.002086078,0.07241651],"study_design_scores_gemma":[0.0006375913,0.001609841,0.3474718,0.000181966,0.0003454206,0.0008016452,0.02236768,0.02147944,0.003962455,0.5932912,0.007720306,0.0001305951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374393,0.0001684707,0.002641757,0.0004820429,0.00002626936,0.0000428266,0.00003236997,0.00001343667,0.05915356],"genre_scores_gemma":[0.9978678,0.00004110155,0.0003178299,0.00003688542,0.00002087161,0.00001915919,0.00001184594,0.000007471684,0.001677157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327255,"threshold_uncertainty_score":0.04440111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04271797032297044,"score_gpt":0.3188870401166649,"score_spread":0.2761690697936945,"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."}}