{"id":"W2954696670","doi":"","title":"The influence of energy optimization on fast and accurate goal-directed aiming","year":2012,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Trajectory; Kinematics; Energy (signal processing); Movement (music); Computer science; Simulation; Table (database); Amplitude; Fitts's law; Task (project management); Mathematics; Control theory (sociology); Statistics; Artificial intelligence; Control (management); Engineering; Physics; Data mining; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009273893,0.0002716263,0.0003955469,0.0002938019,0.0003481653,0.001317115,0.0003010072,0.0003951785,0.004550428],"category_scores_gemma":[0.0100074,0.0002808957,0.0002646501,0.0002765674,0.0004794016,0.0005016983,0.0008650425,0.00046556,0.0004057374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00046872,"about_ca_system_score_gemma":0.0004336249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003305886,"about_ca_topic_score_gemma":0.003776845,"domain_scores_codex":[0.9992338,0.0002897501,0.00005603332,0.0001386025,0.0001636515,0.0001181945],"domain_scores_gemma":[0.9960417,0.002423303,0.0007498863,0.0002492345,0.0002311891,0.0003046913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0318065,0.002256599,0.1560968,0.001457841,0.0007887732,0.00105637,0.004114311,0.01760938,0.6070595,0.006422688,0.001807436,0.1695237],"study_design_scores_gemma":[0.0001683908,0.001429731,0.975598,0.0000720666,0.0001808093,0.0001940689,0.0003742687,0.005461919,0.01272955,0.002329767,0.001407937,0.00005346564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991254,0.000346778,0.001837996,0.0001186658,0.00001316599,0.00003404359,0.0001201505,0.00002071497,0.006254554],"genre_scores_gemma":[0.9976466,0.0001155955,0.001140549,0.00003126655,0.000005768087,0.00003130286,0.00006579499,0.00004868919,0.0009144225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004550428,"threshold_uncertainty_score":0.01522267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392937927737028,"score_gpt":0.2325193097927397,"score_spread":0.2185899305153695,"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."}}