{"id":"W2088604169","doi":"10.1371/journal.pone.0011851","title":"Mapping Proprioception across a 2D Horizontal Workspace","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Proprioception; Workspace; Hand position; Position (finance); Physical medicine and rehabilitation; Computer vision; Computer science; Psychology; Stimulus modality; Communication; Artificial intelligence; Sensory system; Cognitive psychology; Medicine; Robot","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":[0.0001676799,0.0003066237,0.0002527929,0.0005389983,0.00008899568,0.0004398698,0.0001538806,0.0002162979,0.0008217918],"category_scores_gemma":[0.0008776815,0.0002352363,0.0002235276,0.0003319707,0.0002762817,0.0003310791,0.0005030821,0.000209399,0.0001548939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083184,"about_ca_system_score_gemma":0.0001573204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005912365,"about_ca_topic_score_gemma":0.0007569034,"domain_scores_codex":[0.9998572,0.00002675992,0.00001009643,0.00004260929,0.00004423935,0.00001907543],"domain_scores_gemma":[0.9994596,0.000245778,0.000142644,0.00006660222,0.00005731137,0.00002814736],"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":[0.0001951506,0.00003011532,0.006501924,0.0001265383,0.00002815196,0.00009831614,0.0001543731,0.002132891,0.963255,0.0001450821,0.00003807689,0.02729446],"study_design_scores_gemma":[0.00007501974,0.001565592,0.5227602,0.00007488464,0.0001476565,0.002003613,0.0005078384,0.0206902,0.4485284,0.001484247,0.002064968,0.0000973792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618413,0.0004775896,0.03675353,0.00001789577,0.000006067914,0.00001856744,0.0001390589,0.0001205451,0.0006253304],"genre_scores_gemma":[0.9791829,0.0004943592,0.01984131,0.00001900569,0.000006800343,0.00002961401,0.0001179841,0.0000208548,0.0002873053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008217918,"threshold_uncertainty_score":0.002749205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05787598173817118,"score_gpt":0.2497756732402314,"score_spread":0.1918996915020602,"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."}}