{"id":"W4400529953","doi":"10.1016/j.cell.2024.05.020","title":"Advancing accessible science for low-vision and diverse-needs communities","year":2024,"lang":"en","type":"article","venue":"Cell","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Lions Eye Institute; Australian Research Council Centre of Excellence in Advanced Molecular Imaging; Monash University; Australian Research Council; University of New South Wales; University of Cambridge; European Molecular Biology Laboratory","keywords":"Biology; Data science; Computational biology; Computer 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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01540255,0.0007494707,0.0006656138,0.003304275,0.003792888,0.01040396,0.002604735,0.006188546,0.06219665],"category_scores_gemma":[0.04951077,0.0003998535,0.001042482,0.001507546,0.004427521,0.008223729,0.01941639,0.009822321,0.01680999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004517459,"about_ca_system_score_gemma":0.02495347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005895868,"about_ca_topic_score_gemma":0.01215842,"domain_scores_codex":[0.9923069,0.00342505,0.0003514682,0.0005934691,0.002130362,0.001192844],"domain_scores_gemma":[0.9382179,0.02382443,0.002549015,0.003597995,0.01164153,0.02016914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001945156,0.0004747323,0.01537194,0.001365607,0.0001012407,0.0008990183,0.00279202,0.0003199239,0.002655314,0.1120071,0.4972549,0.3665637],"study_design_scores_gemma":[0.00009463313,0.0001621921,0.00448385,0.001677324,0.00005043756,0.0005554831,0.005267617,0.0005515805,0.001195085,0.171221,0.8146948,0.00004579988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009553229,0.01675297,0.02681258,0.7201144,0.01057346,0.0003971538,0.001472518,0.0009388411,0.2133849],"genre_scores_gemma":[0.3166985,0.07015278,0.1425528,0.3355298,0.02928228,0.001584756,0.004627533,0.001078996,0.09849259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9973953,"threshold_uncertainty_score":0.2080685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004372790384717,"score_gpt":0.3539934901512441,"score_spread":0.3239497622473969,"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."}}