{"id":"W2241731204","doi":"10.1109/smc.2015.84","title":"Replicating Contralateral Haptic Feedback","year":2015,"lang":"en","type":"article","venue":"","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Haptic technology; Computer science; Stereotaxy; Decoding methods; Task (project management); Replication (statistics); Encoding (memory); Simulation; Artificial intelligence; Computer vision; Human–computer interaction; Engineering; Medicine","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":[0.001484712,0.0005839362,0.0003644099,0.0001451795,0.0001321295,0.0004595431,0.0005395889,0.0006519218,0.003278848],"category_scores_gemma":[0.01011974,0.0001866405,0.0002176658,0.00008110619,0.0007921333,0.0007120564,0.0007128522,0.0004736175,0.0008562889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058684,"about_ca_system_score_gemma":0.0003067231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003544183,"about_ca_topic_score_gemma":0.0002820077,"domain_scores_codex":[0.9989707,0.0003928844,0.00009831266,0.0001863943,0.0002770518,0.00007467203],"domain_scores_gemma":[0.9942281,0.002838665,0.0005210018,0.001867942,0.0004219273,0.000122255],"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":[0.0008604224,0.0001032403,0.0004306566,0.000174328,0.00000761504,0.0001193731,0.0002094829,0.0001699118,0.9795402,0.0005034166,0.0001398571,0.01774142],"study_design_scores_gemma":[0.0004460615,0.008557817,0.02091195,0.00009374689,0.00006266779,0.003293717,0.0005824414,0.01054345,0.9460083,0.002903293,0.006504008,0.00009268705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248131,0.0003173854,0.06770373,0.0002182617,0.0001839182,0.0002066799,0.0001581982,0.0004699338,0.005928773],"genre_scores_gemma":[0.981084,0.0001064781,0.01626184,0.0001304699,0.00004542995,0.00009389607,0.0001254847,0.00007314893,0.002079376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003278848,"threshold_uncertainty_score":0.01096886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07447145842095841,"score_gpt":0.2764620731303135,"score_spread":0.201990614709355,"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."}}