{"id":"W4377967894","doi":"10.1101/2023.05.24.542099","title":"Future movement plans interact in sequential arm movements","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Motor planning; Computer science; Task (project management); Plan (archaeology); Movement (music); Action (physics); Cognitive psychology; Psychology; Geography; Engineering","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":[0.0006430271,0.0002836401,0.000227944,0.0003497998,0.0002401817,0.0008587816,0.0002659573,0.000393007,0.002806299],"category_scores_gemma":[0.003433209,0.0004157555,0.0002573607,0.0002188605,0.0005545045,0.0008788456,0.0007910312,0.0005433746,0.0001977208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427037,"about_ca_system_score_gemma":0.0003510955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102055,"about_ca_topic_score_gemma":0.001087321,"domain_scores_codex":[0.9996004,0.0001032851,0.00002111774,0.0001030136,0.0001315519,0.00004075421],"domain_scores_gemma":[0.9986077,0.0005980482,0.0004265777,0.0001498937,0.0001117969,0.0001061043],"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":[0.001528822,0.000467603,0.03029626,0.0002566545,0.0002442833,0.0009326344,0.002514854,0.100451,0.6852361,0.04184249,0.00146935,0.13476],"study_design_scores_gemma":[0.0001928957,0.001266143,0.2894715,0.00009133766,0.000155577,0.0007554239,0.0007819312,0.5010681,0.07921279,0.1193045,0.007544149,0.0001557318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358909,0.0001032288,0.0548395,0.0001896957,0.00002176182,0.00004390696,0.00009460886,0.0003423323,0.008474078],"genre_scores_gemma":[0.9882402,0.00004026244,0.01065076,0.00001833176,0.000004782562,0.00002840071,0.00005240775,0.00003966273,0.0009251158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002806299,"threshold_uncertainty_score":0.00938803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189607539103923,"score_gpt":0.2489978304829041,"score_spread":0.2171017550918649,"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."}}