{"id":"W2056104849","doi":"10.1007/s00221-011-2882-x","title":"Learning through observation: a combination of expert and novice models favors learning","year":2011,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Schedule; Task (project management); Dreyfus model of skill acquisition; Motor learning; Generalization; Machine learning; Artificial intelligence; Transfer of learning; Computer science; Psychology; Engineering; Mathematics","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":[0.0006335006,0.0001020699,0.0001313825,0.0001123917,0.0003740468,0.00004594324,0.0001691097,0.00005703004,0.0001298178],"category_scores_gemma":[0.0006238283,0.0001000869,0.00003248141,0.0003271887,0.0002248389,0.0006985394,0.0001360136,0.0003316815,0.00001395081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004935874,"about_ca_system_score_gemma":0.00003224887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006212292,"about_ca_topic_score_gemma":0.000002846748,"domain_scores_codex":[0.9979252,0.000611704,0.0002137424,0.0003552883,0.0006148879,0.0002792116],"domain_scores_gemma":[0.9991449,0.0004952263,0.00007806678,0.0001217934,0.00009656226,0.00006343461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001069281,0.0001609248,0.0001957415,0.00001058781,0.000002992987,0.000004996506,0.03628707,0.0001106923,0.9296329,0.03155873,0.00003294646,0.001895467],"study_design_scores_gemma":[0.001399591,0.001159614,0.002045319,0.00004793982,0.000001129708,0.000006999712,0.01712111,0.07353263,0.8998014,0.003417894,0.001282287,0.0001840526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98176,0.000326544,0.001389044,0.0003952888,0.0000511915,0.0003477924,7.915739e-7,0.00005559772,0.01567381],"genre_scores_gemma":[0.9973986,0.00004334843,0.0008208315,0.0001902125,0.0000296388,0.00007053445,0.000003611383,0.00001830585,0.00142496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07342194,"threshold_uncertainty_score":0.4081425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2811875114351418,"score_gpt":0.3939535291147324,"score_spread":0.1127660176795905,"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."}}