{"id":"W4289024097","doi":"","title":"Undermining a common language: smartphone applications for eye emergencies","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Optometry; Computer security; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007383184,0.0002162905,0.0005217027,0.0005368954,0.000252494,0.0006637339,0.004511992,0.0001026251,0.0006645127],"category_scores_gemma":[0.00008506621,0.0002017496,0.0001488442,0.001042993,0.00009141815,0.00121474,0.001087968,0.0002789758,0.00005186551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005709509,"about_ca_system_score_gemma":0.00009937279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002646204,"about_ca_topic_score_gemma":0.00004874565,"domain_scores_codex":[0.9982191,0.00008497923,0.0005321507,0.0004688861,0.0003267557,0.0003681286],"domain_scores_gemma":[0.9979829,0.0003093641,0.0005510678,0.0008243921,0.0002182653,0.000113963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004740155,0.0004519662,0.5362708,0.0001968244,0.0002309101,0.00001511878,0.0006822192,0.0002114058,0.21384,0.01287481,0.02760448,0.207574],"study_design_scores_gemma":[0.001011156,0.00004712222,0.855912,0.0002806837,0.00006658161,0.00002105581,0.0004139543,0.002880506,0.06487997,0.03366619,0.03999522,0.0008255527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7410867,0.007208901,0.2442125,0.001146412,0.0007002073,0.00120511,0.00003540067,0.0003003615,0.004104331],"genre_scores_gemma":[0.9917079,0.0003897496,0.006626986,0.0002640683,0.00007022649,0.0001793153,0.000008214993,0.00002602131,0.000727477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3196412,"threshold_uncertainty_score":0.8384478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1966283808298841,"score_gpt":0.5541879238205889,"score_spread":0.3575595429907048,"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."}}