{"id":"W3177120446","doi":"","title":"Can Competition Though Leaderboards Lead to Better Engagement and Learning of Data Science Concepts? An Experimental Study","year":2021,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"","keywords":"Competition (biology); Lead (geology); Computer science; Industrial organization; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.003524119,0.00007385812,0.0001723469,0.0001677419,0.0003540467,0.0006188835,0.0004628464,0.00002902304,0.00000596169],"category_scores_gemma":[0.0007684158,0.00005572036,0.000030622,0.0004566107,0.00003017801,0.007176045,0.0002940555,0.0001287172,0.000004712659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344643,"about_ca_system_score_gemma":0.00007514162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008067046,"about_ca_topic_score_gemma":0.00001656547,"domain_scores_codex":[0.998434,0.00005997776,0.0005790179,0.0000894007,0.0007206262,0.0001169976],"domain_scores_gemma":[0.9970693,0.00005947824,0.001339597,0.0002119903,0.001306934,0.00001268222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000499625,0.002252161,0.7226436,0.002007232,0.0007570633,0.000004094984,0.06431729,0.02017202,0.05325314,0.07462533,0.02201449,0.037454],"study_design_scores_gemma":[0.0040856,0.0004819795,0.1241184,0.0008432236,0.0003923872,0.00003423171,0.3268682,0.03681855,0.01470472,0.0001211716,0.4908195,0.0007120294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923946,0.00004724273,0.00313938,0.001236836,0.001471281,0.0005091221,0.00003583128,0.00001265322,0.001153031],"genre_scores_gemma":[0.9989627,0.000002121025,0.0001751123,0.0003635814,0.0003662205,0.000005792149,0.00004182355,0.000004111766,0.00007855127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5985252,"threshold_uncertainty_score":0.5967908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153861151237212,"score_gpt":0.3544402200404896,"score_spread":0.2390541049167684,"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."}}