{"id":"W2411702495","doi":"10.1177/0273475316653433","title":"Evidence From a Large Sample on the Effects of Group Size and Decision-Making Time on Performance in a Marketing Simulation Game","year":2016,"lang":"en","type":"article","venue":"Journal of Marketing Education","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sample (material); Marketing; Sample size determination; Point (geometry); Computer science; Mathematics; Business; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009685216,0.0001548386,0.0002086476,0.0003688788,0.0001100203,0.0001240087,0.0002240954,0.00005346019,0.0002160939],"category_scores_gemma":[0.06506838,0.00009817029,0.0000627491,0.00034307,0.00002563671,0.0008354648,0.00008214693,0.0001519335,0.00001255716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102185,"about_ca_system_score_gemma":0.00004969099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000022866,"about_ca_topic_score_gemma":0.000008335679,"domain_scores_codex":[0.9983763,0.0002521682,0.0005497414,0.0002103414,0.0004179327,0.0001935375],"domain_scores_gemma":[0.9533824,0.04506011,0.001116866,0.000210497,0.0002165597,0.00001353306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005357063,0.0005692495,0.3097909,0.0009540292,0.00004609722,0.000001815585,0.000375893,0.0001674165,0.00428945,0.0002609931,0.003416379,0.6747707],"study_design_scores_gemma":[0.0004896811,0.00004958282,0.9731914,0.01863848,0.00004892445,6.22146e-7,0.0001657314,0.004154402,0.00002627557,0.001248346,0.001849902,0.0001366706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965298,0.0001575242,0.0003818422,0.001030471,0.0007499874,0.0002994361,6.413001e-7,0.00001282506,0.0008375128],"genre_scores_gemma":[0.9975443,0.0001530468,0.0009506653,0.000443168,0.0008145614,0.00001121295,0.00000117133,0.00001929347,0.00006256708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.674634,"threshold_uncertainty_score":0.942807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009565710191470487,"score_gpt":0.2524650455517111,"score_spread":0.2428993353602406,"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."}}