{"id":"W7026731277","doi":"","title":"Biomechanical analysis of posture and movement coordination during a fatiguing, repetitive upper limb task","year":2011,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Réseau Provincial de Recherche en Adaptation-Réadaptation; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Upper limb; Kinematics; Trunk; Electromyography; Task (project management); Movement (music); Motor control; Biomechanics; Balance (ability)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002254963,0.0001965667,0.0002824205,0.0003115346,0.0001226733,0.0001785358,0.0001176136,0.0002329723,0.0009677684],"category_scores_gemma":[0.0005925306,0.0001076771,0.0001785602,0.0002074269,0.0001477993,0.00009668869,0.0001532191,0.000159413,0.0001782378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008020608,"about_ca_system_score_gemma":0.0001049429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008956882,"about_ca_topic_score_gemma":0.001259701,"domain_scores_codex":[0.9998918,0.00002292513,0.00001053004,0.00002607958,0.00003161668,0.00001715294],"domain_scores_gemma":[0.9998065,0.00005126125,0.00004892988,0.00002128256,0.00004602186,0.00002603823],"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":[0.0008945908,0.0001460964,0.0128454,0.0001234611,0.00005946242,0.000187256,0.0003255171,0.0008996464,0.9686821,0.00002550729,0.00007284974,0.01573804],"study_design_scores_gemma":[0.00002038313,0.002338238,0.9715648,0.00001322225,0.00004358253,0.0003293125,0.0001764105,0.002928989,0.02225613,0.00003746487,0.0002788437,0.00001266922],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982551,0.00007771006,0.001319885,0.000006873469,0.000002966341,0.00002369314,0.00009935772,0.00001192643,0.0002025531],"genre_scores_gemma":[0.9980816,0.0001056015,0.00108366,0.00001191859,0.00000593865,0.00004589569,0.0002180667,0.000004863748,0.00044247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009677684,"threshold_uncertainty_score":0.003237545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809816984487965,"score_gpt":0.2404252160956805,"score_spread":0.2223270462508009,"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."}}