{"id":"W1542274971","doi":"10.1109/mra.2003.1233553","title":"ROBUS","year":2003,"lang":"en","type":"article","venue":"IEEE Robotics & Automation Magazine","topic":"Educational Games and Gamification","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"CONTEST; Mobile robot; Computer science; Curriculum; Human–computer interaction; Robot; Software engineering; Engineering; Engineering management; Artificial intelligence; Pedagogy; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001008483,0.00132916,0.0007211218,0.001192004,0.0006840879,0.001259606,0.001604952,0.000768577,0.06633361],"category_scores_gemma":[0.001639188,0.0004984285,0.0005083804,0.0003930273,0.0004853272,0.001601492,0.002550644,0.001072303,0.03139751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004978362,"about_ca_system_score_gemma":0.001212843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005488335,"about_ca_topic_score_gemma":0.009597257,"domain_scores_codex":[0.9991135,0.00009858049,0.0000349573,0.0001543155,0.0004123865,0.0001861885],"domain_scores_gemma":[0.999226,0.0001018034,0.00005060016,0.000131116,0.0002581848,0.0002323447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002228313,0.0006445831,0.003285087,0.001654277,0.0001602636,0.0007681708,0.0009198071,0.006599013,0.04694883,0.07272342,0.3750088,0.4890595],"study_design_scores_gemma":[0.0002762589,0.0004971299,0.001895426,0.0001068254,0.00003722782,0.0004485028,0.00008352417,0.0116669,0.01727372,0.003311482,0.9643289,0.00007405833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06673524,0.006105744,0.2682878,0.00167389,0.00147211,0.002257307,0.01070936,0.1459322,0.4968264],"genre_scores_gemma":[0.232322,0.002908156,0.3108982,0.001313974,0.0003247681,0.001787545,0.03742424,0.01922388,0.3937973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06633361,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083403984131736,"score_gpt":0.3175901106842932,"score_spread":0.2867560708429758,"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."}}