{"id":"W3089653673","doi":"10.1016/s2589-7500(20)30240-5","title":"A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability","year":2020,"lang":"en","type":"review","venue":"The Lancet Digital Health","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":333,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; National Institute for Health and Care Research; Seva Foundation; Fred Hollows Foundation; Queen Elizabeth Diamond Jubilee Trust; Moorfields Eye Charity; Wellcome Trust","keywords":"Metadata; Computer science; Usability; Population; Data science; MEDLINE; Information retrieval; World Wide Web; Medicine; Environmental health; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02300824,0.0009077512,0.003456592,0.01646239,0.0006453924,0.003329533,0.00261462,0.001778369,0.005241762],"category_scores_gemma":[0.07368543,0.0008470172,0.00337214,0.01933598,0.001524558,0.004325137,0.00266773,0.001967852,0.001429404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613213,"about_ca_system_score_gemma":0.0152478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007661647,"about_ca_topic_score_gemma":0.01556636,"domain_scores_codex":[0.9880539,0.004285365,0.003535688,0.0009246605,0.002889131,0.0003112153],"domain_scores_gemma":[0.8860372,0.09009902,0.00839372,0.002865103,0.01178475,0.0008202001],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001717306,0.00002230949,0.001349936,0.3425435,0.001600051,0.000124793,0.0005796266,0.0002526933,0.0005933103,0.00519644,0.04855933,0.5990064],"study_design_scores_gemma":[0.00005450168,0.00008700892,0.006085007,0.3125822,0.003762049,0.0005190194,0.000476076,0.00009726563,0.0005617844,0.002490463,0.6732038,0.00008088388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003736316,0.9933116,0.0004280152,0.00232645,0.0002581156,0.00007522238,0.002003022,0.00002996266,0.001194066],"genre_scores_gemma":[0.002798498,0.9916837,0.001478194,0.001618612,0.0001448541,0.0001742085,0.001902694,0.00002483757,0.0001742967],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9769918,"threshold_uncertainty_score":0.1216807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1755210722985354,"score_gpt":0.4731320854712138,"score_spread":0.2976110131726785,"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."}}