{"id":"W1966597827","doi":"10.1007/s00221-005-2294-x","title":"Novel strategies in feedforward adaptation to a position-dependent perturbation","year":2005,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Force field (fiction); Centripetal force; Kinematics; Impulse (physics); Perturbation (astronomy); Control theory (sociology); Feed forward; Physics; Haptic technology; Mathematics; Mechanics; Classical mechanics; Mathematical analysis; Computer science; Simulation; Artificial intelligence; Engineering; Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.0005856069,0.0001110059,0.000100163,0.0003787026,0.0001988224,0.0002305077,0.0002096393,0.00005280001,0.0002084166],"category_scores_gemma":[0.0003746671,0.0001100538,0.0000334083,0.000455785,0.00005849362,0.0006754543,0.0000743062,0.0002129569,0.0003175821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003849491,"about_ca_system_score_gemma":0.000105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003746689,"about_ca_topic_score_gemma":0.0002082442,"domain_scores_codex":[0.9978657,0.0002286226,0.0002304562,0.0004281569,0.0008551645,0.0003919115],"domain_scores_gemma":[0.9992808,0.0003486812,0.00002962937,0.0001598329,0.00005908998,0.000121946],"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":[0.0001447719,0.0002605011,0.000004982247,0.000002842096,0.000001039524,0.000005924791,0.006138844,0.003513958,0.966165,0.02075957,0.0001255186,0.002877045],"study_design_scores_gemma":[0.002088041,0.0006242578,0.003971376,0.00004390433,8.56817e-7,0.00001867549,0.01655137,0.06879245,0.9038971,0.0009349567,0.002793178,0.0002838327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681602,0.00009735356,0.008263662,0.01197932,0.0001054634,0.001043944,0.00001316442,0.00006509974,0.01027184],"genre_scores_gemma":[0.9952508,0.00000298925,0.001289935,0.001057976,0.0001600108,0.0002625725,0.000008153082,0.00001625647,0.001951373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06527849,"threshold_uncertainty_score":0.4487864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10388344050262,"score_gpt":0.3914821498780282,"score_spread":0.2875987093754081,"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."}}