{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006447477,0.0000708482,0.0001120515,0.00005056125,0.00008676749,0.0000486099,0.00003886882,0.00001565945,0.00119135],"category_scores_gemma":[0.000004583945,0.00003551813,0.00001029017,0.00001705084,0.0001004629,0.0001740173,0.00001800239,0.00004159134,0.00008134585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001339646,"about_ca_system_score_gemma":0.000006860782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102179,"about_ca_topic_score_gemma":0.001306758,"domain_scores_codex":[0.9995672,0.000007699533,0.00008862087,0.0001190998,0.00008017038,0.0001372096],"domain_scores_gemma":[0.9998124,0.00004600353,0.00002486372,0.00006601366,0.00001373773,0.00003703972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003455734,0.000463857,0.2967246,0.0002527746,0.00004966809,0.0000178853,0.1358082,0.000006506868,0.003155356,0.1011056,0.05110616,0.4109638],"study_design_scores_gemma":[0.004205805,0.001770324,0.02662152,0.001699449,0.00003022979,0.00001276007,0.04785213,0.004361441,0.005216175,0.0002110044,0.9071066,0.0009125416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659305,0.00005012559,0.0000420566,0.0002827992,0.00006988286,0.00006982865,0.000005264465,0.00002888465,0.03352068],"genre_scores_gemma":[0.9893965,0.00003082952,0.00007251434,0.00007328334,0.0001170686,0.000006369296,0.000002081317,0.000008033263,0.01029329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8560005,"threshold_uncertainty_score":0.9997217,"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."}}