{"id":"W3026296907","doi":"10.1038/s41598-020-65202-x","title":"Towards developing a test of global motion for use with Paralympic athletes","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Visual acuity; Visual field; Perception; Motion (physics); Motion perception; Coherence (philosophical gambling strategy); Visual perception; Visual impairment; Audiology; Psychology; Athletes; Optometry; Physical medicine and rehabilitation; Computer science; Computer vision; Medicine; Physics; Ophthalmology; Physical therapy","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":[0.01048385,0.000953922,0.0008121132,0.00160786,0.0004004044,0.001453636,0.00210245,0.001841301,0.001856624],"category_scores_gemma":[0.008095147,0.0004075362,0.0004308012,0.0006176711,0.001123936,0.001424381,0.001081486,0.001251796,0.0009505728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005885527,"about_ca_system_score_gemma":0.001782387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003769967,"about_ca_topic_score_gemma":0.004973373,"domain_scores_codex":[0.997559,0.001329509,0.0002213829,0.000250752,0.0004887609,0.0001506514],"domain_scores_gemma":[0.9942313,0.001535793,0.0006427343,0.0004123773,0.002728278,0.0004494775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003364656,0.003426136,0.3978603,0.001673,0.0002065161,0.0007339355,0.0009873281,0.002973908,0.2244524,0.002503962,0.003384217,0.3584337],"study_design_scores_gemma":[0.0005716325,0.03051576,0.7302899,0.001667238,0.0004089486,0.005681309,0.002935519,0.03202698,0.1710285,0.007645974,0.01694118,0.0002870771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256426,0.006810219,0.1453481,0.003129171,0.0003415852,0.004333145,0.001199686,0.001528129,0.0116673],"genre_scores_gemma":[0.7311242,0.00258324,0.2587597,0.001252352,0.0001315669,0.0028664,0.0009397452,0.00008776417,0.002255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01048385,"threshold_uncertainty_score":0.05544454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127648154564679,"score_gpt":0.3296891886625676,"score_spread":0.2169243732060998,"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."}}