{"id":"W2118482545","doi":"10.1123/mcj.9.1.101","title":"Energy-Minimization Bias: Compensating for Intrinsic Influence of Energy-Minimization Mechanisms","year":2005,"lang":"en","type":"article","venue":"Motor Control","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Minification; Energy minimization; Energy (signal processing); Overshoot (microwave communication); Computer science; Incentive; Work (physics); Control theory (sociology); Compensation (psychology); Psychology; Artificial intelligence; Mathematics; Statistics; Economics; Physics; Social psychology; Control (management); Microeconomics","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":[0.0001775271,0.0002405653,0.0003788747,0.0002196177,0.0001948518,0.00006436168,0.0002681075,0.0001208165,0.00003866278],"category_scores_gemma":[0.001025644,0.0002340907,0.0001421835,0.0002788648,0.00006201031,0.0004818259,0.00002925546,0.00006768738,0.000006097868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000694268,"about_ca_system_score_gemma":0.00007671284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005491516,"about_ca_topic_score_gemma":0.00004718484,"domain_scores_codex":[0.9979092,0.0001983374,0.000684717,0.0004711811,0.0003912651,0.0003453317],"domain_scores_gemma":[0.9980291,0.0007540453,0.0005691347,0.0002790888,0.0002653698,0.000103228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000429884,0.0001492847,0.00008782095,0.00003186489,0.00001933092,0.000001700834,0.0001688343,0.05305577,0.7651735,0.1171893,0.00005798351,0.06363478],"study_design_scores_gemma":[0.005514855,0.0004214772,0.001756751,0.00006058183,0.00006968967,0.000005557049,0.00002978317,0.8444907,0.1327186,0.003593154,0.01095786,0.0003809502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1304522,0.00006936908,0.8671893,0.0007257278,0.0002590239,0.000741885,0.0001179742,0.0001726842,0.000271786],"genre_scores_gemma":[0.9925386,0.00002372399,0.00425128,0.002253975,0.0002637097,0.0002581467,0.00002374257,0.0000393499,0.0003474696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8629381,"threshold_uncertainty_score":0.9545941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311968246094101,"score_gpt":0.2314564553732184,"score_spread":0.2083367729122774,"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."}}