{"id":"W2086736613","doi":"10.1007/s00221-011-2762-4","title":"Bimanual reaches with symbolic cues exhibit errors in target selection","year":2011,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Neuroscience; Communication; Computer science; Psychology; Cognitive psychology; Artificial intelligence","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":[0.001443761,0.0008315674,0.001168012,0.0007419233,0.0003408025,0.0007461018,0.0007597846,0.00142705,0.004239636],"category_scores_gemma":[0.01828625,0.00071609,0.000341575,0.0006592048,0.001741756,0.001147274,0.001877604,0.001827104,0.001247298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004004307,"about_ca_system_score_gemma":0.0005093803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008734185,"about_ca_topic_score_gemma":0.0007589304,"domain_scores_codex":[0.9980427,0.000362082,0.000247887,0.0003420433,0.0007827635,0.0002224562],"domain_scores_gemma":[0.9923261,0.003285154,0.001548684,0.002263728,0.0002861773,0.0002901223],"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":[0.01078693,0.001210738,0.05008094,0.000380282,0.0003077357,0.002457918,0.001445068,0.008426367,0.8385273,0.003114058,0.00107942,0.08218326],"study_design_scores_gemma":[0.0005308007,0.004940631,0.5254126,0.00009408505,0.0003177397,0.01514109,0.001134629,0.08413401,0.3550999,0.01092928,0.002124527,0.0001406503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965335,0.00005695197,0.002631886,0.00004439499,0.00001682975,0.000008436536,0.00006836916,0.0001573346,0.0004821609],"genre_scores_gemma":[0.9972464,0.00004973686,0.001514852,0.00003838916,0.000009538336,0.00003632138,0.0001337266,0.0001329773,0.0008382156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004239636,"threshold_uncertainty_score":0.01418304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.149106138289282,"score_gpt":0.3718348637959382,"score_spread":0.2227287255066562,"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."}}