{"id":"W4406621483","doi":"10.58459/icce.2024.4903","title":"Exploring Cognitive Engagement in AI-Driven Adaptive Psychomotor Sport Training","year":2024,"lang":"en","type":"article","venue":"International Conference on Computers in Education","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Psychomotor learning; Cognition; Psychology; Training (meteorology); Cognitive training; Cognitive psychology; Applied psychology; Computer science; Cognitive science; Neuroscience; Geography","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":[0.001014751,0.0001375073,0.0001703178,0.000667503,0.00004763116,0.0005362636,0.0004777951,0.00004493629,0.0002506378],"category_scores_gemma":[0.000171831,0.0001176018,0.00006673738,0.000548356,0.00004629998,0.001079156,0.00006564347,0.0003157292,0.0001071626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120506,"about_ca_system_score_gemma":0.0004964727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042146,"about_ca_topic_score_gemma":0.00004044376,"domain_scores_codex":[0.9980814,0.00006933195,0.0004389356,0.0004710869,0.0007620904,0.0001771583],"domain_scores_gemma":[0.9990819,0.0003332408,0.00008020215,0.0001402299,0.0003063408,0.00005812472],"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":[0.00008655873,0.0003432336,0.0100326,0.000005674955,0.00002761424,0.00002217217,0.01762825,0.0003073058,0.00004663454,0.1152118,0.001676806,0.8546113],"study_design_scores_gemma":[0.001192545,0.0003310444,0.6064529,0.004322976,0.00001251466,0.00001893301,0.0679291,0.2527147,0.0001049947,0.04718606,0.0189861,0.0007481085],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483585,0.0000453133,0.02024617,0.006553865,0.01143719,0.0002843464,0.000039634,0.00004249446,0.01299253],"genre_scores_gemma":[0.9971945,0.0001118315,0.001176167,0.0008654854,0.0003637501,0.00007333105,0.00006175602,0.000007653933,0.000145566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8538632,"threshold_uncertainty_score":0.5171202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5561342241000924,"score_gpt":0.4741745494084387,"score_spread":0.08195967469165366,"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."}}