{"id":"W2147580841","doi":"","title":"Chances Are? Course Selection at HBS and at Kellogg","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Bidding; Lottery; Context (archaeology); Matching (statistics); Selection (genetic algorithm); Basketball; Computer science; Operations research; Process (computing); Course (navigation); Operations management; Marketing; Business; Engineering; Economics; Artificial intelligence; Microeconomics; Medicine; Programming language","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":[0.0009308252,0.0001444015,0.0001246662,0.0001295588,0.000696971,0.0002303619,0.0001598521,0.00008420466,0.0003658825],"category_scores_gemma":[0.00006589203,0.0001285552,0.00005668379,0.0002122164,0.00006284529,0.0006213007,0.00007559221,0.0009560188,0.0002260548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666689,"about_ca_system_score_gemma":0.0002216202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118036,"about_ca_topic_score_gemma":0.01073346,"domain_scores_codex":[0.9983412,0.000007379018,0.00016599,0.0001998154,0.0002258939,0.001059746],"domain_scores_gemma":[0.9993994,0.0000163797,0.0003075108,0.00009649245,0.0001590142,0.00002120099],"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":[0.00008379684,0.00008324117,0.8949449,0.00003504434,0.0001420114,0.000002176783,0.0001012562,0.00001180858,0.004689888,0.07328691,0.01620764,0.01041132],"study_design_scores_gemma":[0.002537626,0.00009624608,0.3371951,0.00006652595,0.0004661558,0.001403498,0.005358188,0.002838492,0.0004772629,0.1163838,0.5318469,0.00133017],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991174,0.0008379042,0.00008837644,0.0031769,0.001139745,0.00007934912,3.179811e-7,0.00006659843,0.0034368],"genre_scores_gemma":[0.9890756,0.0003278553,0.00001403258,0.001022333,0.002657387,0.000005377172,0.000005227463,0.00002399239,0.006868201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5577498,"threshold_uncertainty_score":0.5989523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005303390235064807,"score_gpt":0.21766746575153,"score_spread":0.2123640755164652,"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."}}