{"id":"W7066042319","doi":"","title":"The fine-tuning network: an investigation into the neural correlates of gait cycle adjustment and adaptation to split belt treadmill locomotion","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Parkinson Canada; McGill University","keywords":"Neural correlates of consciousness; Gait; Gait cycle; Adaptation (eye); Treadmill","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":[0.0001288106,0.00008510464,0.0001741152,0.000118785,0.00009674872,0.000395434,0.0001591908,0.0001902769,0.002612773],"category_scores_gemma":[0.0009347011,0.0001473064,0.00009883083,0.0002046202,0.0001633743,0.0002506652,0.0002029401,0.0003359046,0.000134173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296767,"about_ca_system_score_gemma":0.0001719159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002195782,"about_ca_topic_score_gemma":0.003980642,"domain_scores_codex":[0.99997,0.000004311368,0.000001159238,0.00001160125,0.000005817708,0.000007105567],"domain_scores_gemma":[0.999836,0.00007890186,0.00002627782,0.00001040475,0.00001884496,0.00002969805],"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":[0.001623995,0.0004897063,0.1093327,0.000166235,0.0003262674,0.0003380016,0.0009865321,0.00654267,0.5864499,0.004136398,0.003045745,0.2865617],"study_design_scores_gemma":[0.00003749777,0.0001480588,0.9791535,0.00001290449,0.00003203459,0.0001692046,0.000115374,0.01581484,0.002636075,0.001137976,0.0007323791,0.00001029023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916404,0.0002752348,0.004953629,0.0001737534,0.0000195566,0.00003235609,0.0001745175,0.00002352768,0.002706914],"genre_scores_gemma":[0.9952847,0.0002051416,0.001931843,0.00005770822,0.00001177323,0.00002772398,0.0001133293,0.00002435679,0.002343504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002612773,"threshold_uncertainty_score":0.008740604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344994894700864,"score_gpt":0.2291083268944976,"score_spread":0.2156583779474889,"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."}}