{"id":"W2047987389","doi":"10.1097/wnr.0b013e3283036ea0","title":"Low-threshold afferent signalling of viscous loads during voluntary movements of the human digits","year":2008,"lang":"en","type":"article","venue":"Neuroreport","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Medical Research Council; National Health and Medical Research Council; University of New South Wales","keywords":"Afferent; SIGNAL (programming language); Viscosity; Population; Physics; Sensory system; Neuroscience; Central nervous system; Chemistry; Turnover; Mechanics; Control theory (sociology); Mathematics; Medicine; Biology; Computer science; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000309179,0.0001217216,0.0001826486,0.00007806896,0.00009639378,0.000003634351,0.0001279817,0.00002713242,0.00001653752],"category_scores_gemma":[0.000008521711,0.0000995477,0.0001145365,0.0001980505,0.00005709147,0.00007068347,0.00004813744,0.0001188066,2.085397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001610179,"about_ca_system_score_gemma":0.00001012743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001652677,"about_ca_topic_score_gemma":0.000004951937,"domain_scores_codex":[0.9990624,0.000006721701,0.0003655177,0.0001278207,0.000272313,0.0001652407],"domain_scores_gemma":[0.9995667,0.0000108374,0.0001146095,0.0002367987,0.00004280775,0.00002820531],"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":[0.000006033384,0.00009313495,0.2555043,0.0001550476,0.0001202445,0.00002878322,0.0003189887,0.004365254,0.7387953,0.0000236787,0.0003001098,0.0002891546],"study_design_scores_gemma":[0.0001282647,0.00002031637,0.5716197,0.00003038483,0.000006471574,0.000009623875,0.000009835042,0.0000958403,0.4279594,0.00002215951,0.000034741,0.00006317823],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961585,0.00004894363,0.00003836178,0.000009676285,0.0001513554,0.0001255461,0.000002602895,0.00006964096,0.003395345],"genre_scores_gemma":[0.9997525,0.00005055045,0.000007119333,0.00002343255,0.00003109803,0.000008256451,0.000002336404,0.00002082969,0.0001038333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3161154,"threshold_uncertainty_score":0.4059438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501338430349133,"score_gpt":0.2083713977804074,"score_spread":0.1933580134769161,"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."}}