{"id":"W2312824571","doi":"10.1152/jn.00975.2010","title":"The influence of predicted arm biomechanics on decision making","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomechanics; Movement (music); Kinematics; Physical medicine and rehabilitation; Task (project management); Computer science; Cognitive psychology; Trajectory; Process (computing); Psychology; Physics; Engineering; Anatomy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003835352,0.0006054172,0.0006005075,0.0004019607,0.0002351006,0.002088953,0.0005045913,0.000889759,0.002123123],"category_scores_gemma":[0.02948022,0.0005268094,0.0005224678,0.0002255378,0.001088192,0.001360223,0.0008113288,0.001163872,0.0002936373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005732827,"about_ca_system_score_gemma":0.0006297433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608099,"about_ca_topic_score_gemma":0.001567906,"domain_scores_codex":[0.9979385,0.0008979569,0.0001539758,0.0004970212,0.0003311774,0.0001814316],"domain_scores_gemma":[0.9859632,0.01114969,0.001238753,0.0008213127,0.0003785755,0.0004485028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005723923,0.0009461493,0.3371482,0.00088617,0.001589154,0.001014554,0.001266821,0.284663,0.2180348,0.011405,0.0006341049,0.1366881],"study_design_scores_gemma":[0.0001690088,0.001237045,0.5924156,0.00006179775,0.0002400893,0.0003096603,0.0002250318,0.3569927,0.01744318,0.03025283,0.0004927663,0.0001604386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754395,0.0002181057,0.02117805,0.0002101152,0.00001798626,0.00004551667,0.0001266993,0.00006423374,0.002699797],"genre_scores_gemma":[0.9972779,0.00005218327,0.002448598,0.00002435785,0.000003872903,0.0000118096,0.00006206279,0.00001421733,0.0001050169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003835352,"threshold_uncertainty_score":0.02028352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018188276036089,"score_gpt":0.2683922349679754,"score_spread":0.2282103522076145,"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."}}