{"id":"W4391805658","doi":"10.1080/26939169.2024.2319152","title":"Age Guessing: A Game to Introduce Fundamental Statistical Concepts","year":2024,"lang":"en","type":"article","venue":"Journal of Statistics and Data Science Education","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical economics; Psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001380787,0.00009275107,0.0001309696,0.0002887984,0.000137103,0.001672679,0.001360075,0.00001834058,0.00002940779],"category_scores_gemma":[0.001201157,0.00007447233,0.000009360558,0.0006239888,0.0004414414,0.002219654,0.0004582485,0.0001591802,0.00003512583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096513,"about_ca_system_score_gemma":0.002181138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003258526,"about_ca_topic_score_gemma":0.00001010444,"domain_scores_codex":[0.998365,0.00003431087,0.0004027591,0.0003954942,0.0005873047,0.0002151337],"domain_scores_gemma":[0.9985973,0.000261525,0.0001175801,0.0004454273,0.0002947775,0.0002834338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004631608,0.00009750419,0.00009414258,0.00002081559,0.000005610751,0.00004169711,0.002738711,0.00002180813,0.002579349,0.4955869,0.03591972,0.4628891],"study_design_scores_gemma":[0.0001739189,0.001769215,0.01763655,0.0008020731,0.00009479585,0.001273932,0.005837165,0.4151357,0.004022826,0.2166647,0.3356808,0.0009084208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01177158,0.0003490481,0.9822301,0.001915817,0.003359087,0.00007562833,0.0001349945,0.00001393913,0.0001497754],"genre_scores_gemma":[0.5719997,0.00006117927,0.4272944,0.0002444233,0.0003179681,8.622044e-7,0.00001193499,0.000004015805,0.00006546785],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5602282,"threshold_uncertainty_score":0.9993637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06707136600625423,"score_gpt":0.4286979129594767,"score_spread":0.3616265469532225,"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."}}