{"id":"W766666273","doi":"","title":"Effect of crowding on postural control","year":2015,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Foot and Ankle Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Crowding; Physical medicine and rehabilitation; Control (management); Medicine; Psychology; Neuroscience; Computer science; Artificial intelligence","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":[0.0003495609,0.0007749157,0.001412683,0.0004932306,0.0008160869,0.0008081194,0.000403681,0.0008553642,0.007039713],"category_scores_gemma":[0.004476063,0.0003625101,0.0006080446,0.0003459908,0.0009655227,0.0005112045,0.001225146,0.001103895,0.0004634422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402557,"about_ca_system_score_gemma":0.0009339942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00779453,"about_ca_topic_score_gemma":0.00486602,"domain_scores_codex":[0.9993253,0.0001097682,0.00005761937,0.00009672812,0.0001334815,0.0002771969],"domain_scores_gemma":[0.9966192,0.001682691,0.0002146766,0.0003171241,0.0003664071,0.0007998133],"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":[0.3848763,0.005345485,0.03907207,0.0008004043,0.0009447212,0.004477147,0.002454854,0.008976717,0.4867668,0.0006136526,0.00244007,0.06323188],"study_design_scores_gemma":[0.002742123,0.05151125,0.8411896,0.0002247941,0.0008748133,0.002088388,0.003988743,0.01535492,0.0758682,0.002140387,0.003786901,0.0002298374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982509,0.0001601048,0.0002061151,0.00006825258,0.0001217369,0.00001525261,0.0002363942,0.00002318422,0.0009179252],"genre_scores_gemma":[0.9985084,0.00007941495,0.000174364,0.00004247263,0.00005197175,0.00002592907,0.0002108601,0.00002326964,0.0008833517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00779453,"threshold_uncertainty_score":0.02355021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996002634086719,"score_gpt":0.3742958365202825,"score_spread":0.3243358101794153,"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."}}