{"id":"W7054823401","doi":"","title":"Anticipatory grip force control in stroke","year":2011,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Thumb; Elbow; Forearm; Hand strength; Stroke (engine); Elbow flexion; Index finger; Wrist; Chronic stroke","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":[0.0001512026,0.0002378196,0.0001661829,0.0002448469,0.0001519091,0.0003547242,0.0001314128,0.0002485256,0.002146019],"category_scores_gemma":[0.0006752731,0.0001115969,0.00008255799,0.0001511506,0.0002633257,0.00016049,0.0002058376,0.0001871999,0.0001866115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059192,"about_ca_system_score_gemma":0.0002628967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004716636,"about_ca_topic_score_gemma":0.005317769,"domain_scores_codex":[0.9999418,0.000005788623,0.000007389773,0.00001504411,0.00001437846,0.00001555174],"domain_scores_gemma":[0.9998978,0.00002573196,0.00003399638,0.00001070928,0.00001182843,0.00001993359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004658755,0.001162729,0.1862537,0.0005180453,0.0001632084,0.004129387,0.002432767,0.002363015,0.3022863,0.001882042,0.003070466,0.4910796],"study_design_scores_gemma":[0.00004606606,0.0008574294,0.9883189,0.00002842926,0.00002833477,0.00135266,0.0001681363,0.001320078,0.004970231,0.001383621,0.001509095,0.00001695633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956177,0.001108192,0.0007218912,0.00008663614,0.000009725072,0.00001539316,0.0001030038,0.00002730168,0.002310175],"genre_scores_gemma":[0.9973354,0.000338321,0.0003150971,0.00002846588,0.000007017835,0.00001372545,0.00008837028,0.000003294693,0.001870243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004716636,"threshold_uncertainty_score":0.009378374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763907722881863,"score_gpt":0.2571250748996564,"score_spread":0.2394859976708378,"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."}}