{"id":"W2185581631","doi":"10.1123/mcj.14.1.1","title":"Characterization of Bi-Directional Movement Primitives and Their Agonist-Antagonist Synergy with the Delta-Lognormal Model","year":2010,"lang":"en","type":"article","venue":"Motor Control","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Antagonist; Movement (music); Agonist; Computer science; Physics; Receptor; Medicine; Internal medicine","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":[0.000170124,0.0001602632,0.0001827189,0.0000550654,0.0002794679,0.00007529525,0.0001444207,0.00004988105,0.00001872384],"category_scores_gemma":[0.00007187334,0.00009247092,0.00004782433,0.00008276957,0.0002341826,0.0002173336,0.00002390029,0.0001512265,9.151232e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001086643,"about_ca_system_score_gemma":0.00006666719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003636818,"about_ca_topic_score_gemma":0.00007323374,"domain_scores_codex":[0.9990386,0.00007783456,0.000198401,0.0002749574,0.0002166647,0.0001935929],"domain_scores_gemma":[0.9993206,0.0001639337,0.0001930364,0.0001759792,0.00008712243,0.00005932354],"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":[0.0002736635,0.0000619655,0.0001925193,0.000006077631,0.00001466401,0.000001036695,0.0001952395,0.0003833967,0.9894094,0.006219973,0.000001925472,0.003240175],"study_design_scores_gemma":[0.002712151,0.0003136178,0.05087409,0.00001269275,0.00004241309,0.00001495995,0.0000625279,0.5712819,0.3722232,0.0003386712,0.00186749,0.0002563043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913074,0.000009802436,0.08409835,0.001571392,0.0001436382,0.0005195645,0.000229024,0.00004281412,0.0003114485],"genre_scores_gemma":[0.9979854,0.00001077691,0.00009145129,0.001251252,0.000110575,0.000133912,0.00001121711,0.00001536442,0.0003901118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6171862,"threshold_uncertainty_score":0.3770855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100784212734269,"score_gpt":0.1988615617571816,"score_spread":0.1887831404837547,"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."}}