{"id":"W2141564837","doi":"10.1007/s00221-005-2247-4","title":"Learning and recall of incremental kinematic and dynamic sensorimotor transformations","year":2005,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":147,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Recall; Motor learning; Control theory (sociology); Psychology; Transformation (genetics); Movement (music); Perturbation (astronomy); Computer science; Artificial intelligence; Cognitive psychology; Communication; Physics; Classical mechanics; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108859,0.0006794197,0.0005009099,0.0004182124,0.0001762554,0.001457031,0.0008677003,0.0006788611,0.004013164],"category_scores_gemma":[0.01176641,0.000540541,0.0005243761,0.0003471316,0.0008763762,0.002601069,0.000805578,0.001378498,0.0005236374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004533698,"about_ca_system_score_gemma":0.000739456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034095,"about_ca_topic_score_gemma":0.001415695,"domain_scores_codex":[0.9994504,0.0000785533,0.00005880005,0.0002372188,0.000131345,0.00004367079],"domain_scores_gemma":[0.9936966,0.003340092,0.0008346862,0.001594265,0.000349805,0.0001846],"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":[0.005682678,0.001778715,0.03962209,0.0007557592,0.0005930562,0.0007228747,0.001438284,0.03319659,0.1968732,0.02800035,0.002391959,0.6889445],"study_design_scores_gemma":[0.000890441,0.007184744,0.1557717,0.0002206926,0.0009900553,0.003258729,0.00134249,0.2286444,0.3742135,0.2127081,0.01445745,0.0003175834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421967,0.0007226072,0.05145508,0.000236716,0.000137253,0.00006371488,0.0002191763,0.0003304752,0.004638191],"genre_scores_gemma":[0.9872536,0.0004744157,0.008357942,0.00004903833,0.000030355,0.00003274948,0.0003790728,0.00003727129,0.003385517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004013164,"threshold_uncertainty_score":0.01342535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05331927563626251,"score_gpt":0.384639567581418,"score_spread":0.3313202919451556,"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."}}