{"id":"W2478391270","doi":"10.1007/978-3-319-26647-3_38","title":"The Effect of the Real Number of Options on the Discrimination of Multiple-Choice Questions","year":2016,"lang":"en","type":"book-chapter","venue":"Developments in marketing science: proceedings of the Academy of Marketing Science","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Multiple choice; Psychology; Sample (material); Consumer choice; Social psychology; Cognitive psychology; Economics; Statistics; Mathematics; Microeconomics; Significant difference","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","sts"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.0617924,0.000393339,0.0004800767,0.0007025506,0.00131796,0.0001542859,0.005065176,0.0001663174,0.0000372882],"category_scores_gemma":[0.05677639,0.0001934985,0.0002068786,0.002074133,0.005323188,0.0009130077,0.002088927,0.0005492245,0.000002500062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091505,"about_ca_system_score_gemma":0.0002917959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005951334,"about_ca_topic_score_gemma":0.000009644747,"domain_scores_codex":[0.9942779,0.0001373951,0.001457777,0.0007152564,0.002837359,0.0005743268],"domain_scores_gemma":[0.9862601,0.007433084,0.004809436,0.0004331129,0.001038162,0.00002608261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001002651,0.0001320846,0.6607689,0.004236349,0.0001008093,7.351438e-8,0.0006352676,0.00003184889,0.03464403,0.2537596,0.003274876,0.04141355],"study_design_scores_gemma":[0.0003673797,0.00001457084,0.9766558,0.009909944,0.0001177104,9.366145e-7,0.0003405145,0.0003258607,0.005214964,0.003160994,0.003576342,0.0003150095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6033157,0.00002696422,9.013689e-7,0.001958652,0.0006081118,0.001112064,0.000005260116,0.0000187038,0.3929537],"genre_scores_gemma":[0.9848996,0.0001558858,0.0004016918,0.00007134411,0.0001258961,0.00004535139,6.285375e-7,0.00003106653,0.01426847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.381584,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513393222018635,"score_gpt":0.2744618599137704,"score_spread":0.259327927693584,"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."}}