{"id":"W2923088626","doi":"10.1007/s00221-019-05515-0","title":"Going offline: differences in the contributions of movement control processes when reaching in a typical versus novel environment","year":2019,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Movement (music); Physical medicine and rehabilitation; Jerk; Psychology; Motor control; Visual feedback; Trajectory; Computer science; Communication; Artificial intelligence; Medicine; Neuroscience","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":[0.001169672,0.00009977347,0.0001753947,0.0001458726,0.0000929488,0.00004939754,0.0003536796,0.00004375463,0.0001329328],"category_scores_gemma":[0.001250054,0.00007171241,0.00003284533,0.000228074,0.0001486095,0.0001435795,0.00008909505,0.0003250992,0.00004405341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810497,"about_ca_system_score_gemma":0.00007675787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001753183,"about_ca_topic_score_gemma":0.0000286878,"domain_scores_codex":[0.997754,0.0005084205,0.0002842336,0.0003202478,0.0007753931,0.0003577044],"domain_scores_gemma":[0.9972125,0.002474391,0.00005630341,0.0001933799,0.00002170202,0.00004171142],"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":[0.0007895131,0.0006326563,0.00145108,0.00001576861,0.000003308821,0.000004675142,0.002717766,0.00005393443,0.9860474,0.008113938,0.00002355343,0.0001463768],"study_design_scores_gemma":[0.02670007,0.002082862,0.057678,0.0002582151,0.000005056603,0.000003790157,0.01342928,0.02915902,0.8668367,0.00132623,0.002092235,0.0004285687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949919,0.0002355845,0.0002703032,0.002393473,0.00006626056,0.001114432,0.00002847886,0.000007280116,0.000892318],"genre_scores_gemma":[0.9992508,0.00001140064,0.00005022936,0.0002748716,0.00003026619,0.0002272613,0.000003530636,0.0000068021,0.0001448343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192108,"threshold_uncertainty_score":0.2924347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036086414051341,"score_gpt":0.367447801182485,"score_spread":0.263839159777351,"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."}}