{"id":"W2577055035","doi":"","title":"Apple iPad and CCTV reading performance comparison in persons with low vision","year":2016,"lang":"en","type":"article","venue":"","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Concordia University","funders":"","keywords":"Reading (process); Optometry; Low vision; Computer science; Psychology; Computer vision; Artificial intelligence; Medicine; Political science; Law","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":[0.0002679571,0.0002995495,0.0003410995,0.001254664,0.0002998232,0.0007484996,0.000256785,0.0006797665,0.006448689],"category_scores_gemma":[0.00263741,0.0001046898,0.0003386624,0.0005687982,0.0001908952,0.0006205778,0.0004647209,0.0002702052,0.001603259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000412486,"about_ca_system_score_gemma":0.0002417732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02400966,"about_ca_topic_score_gemma":0.02930324,"domain_scores_codex":[0.9995876,0.00005711501,0.00005257519,0.0001168721,0.0001060565,0.00007983501],"domain_scores_gemma":[0.9982781,0.0005744731,0.0001769513,0.00007213108,0.0006677281,0.0002305816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.014312,0.001328373,0.8020439,0.0006779431,0.0002815003,0.002792325,0.004297336,0.001132208,0.03950511,0.000445208,0.004625854,0.1285583],"study_design_scores_gemma":[0.0000348908,0.0009658437,0.991871,0.00002075884,0.0001036295,0.0008424427,0.00112495,0.0011242,0.003134364,0.00006779264,0.0006937673,0.00001637812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941056,0.0001998127,0.0001778317,0.0000332795,0.00001200834,0.00001276326,0.001011641,0.00003280676,0.004414409],"genre_scores_gemma":[0.9972603,0.00009945457,0.0001462382,0.00002319264,0.00000976543,0.000007509068,0.0007166738,0.000009814166,0.001727054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02400966,"threshold_uncertainty_score":0.0477398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273601976902582,"score_gpt":0.2470096374181606,"score_spread":0.2242736176491348,"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."}}