{"id":"W3151160302","doi":"10.1016/j.jtos.2021.03.008","title":"Chemical and thermal ocular burns in the United States: An IRIS registry analysis","year":2021,"lang":"en","type":"article","venue":"The Ocular Surface","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"IRIS (biosensor); Optometry; Medicine; Ophthalmology; Computer security; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007984689,0.000236774,0.0004854431,0.002165831,0.0005576579,0.0009282154,0.0003931856,0.0003700776,0.002118399],"category_scores_gemma":[0.002255928,0.0003648609,0.0007481221,0.004887142,0.0002748506,0.0008697594,0.0009956704,0.0005167323,0.0003207976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903145,"about_ca_system_score_gemma":0.001258724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02953827,"about_ca_topic_score_gemma":0.04577208,"domain_scores_codex":[0.9988322,0.0002236711,0.0002690214,0.0002408327,0.00022331,0.0002110893],"domain_scores_gemma":[0.996784,0.0004493146,0.001744459,0.0003243642,0.0004363133,0.00026159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006731781,0.00002593531,0.9984953,0.00001729646,0.00007599099,0.00005268583,0.00005454157,0.00003920312,0.00006630245,0.00002616806,0.0002440428,0.0008352217],"study_design_scores_gemma":[0.000005855434,0.00003172853,0.9985583,0.00001490623,0.00007005121,0.0002200179,0.0005848673,0.000131469,0.00005133895,0.00001255399,0.0003145222,0.000004375182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917256,0.0005127075,0.0001228312,0.00006702483,0.000004915634,0.00002596364,0.005959186,0.000009988837,0.001571716],"genre_scores_gemma":[0.9962916,0.0003546776,0.0001070783,0.0000577264,0.0000085141,0.00002481144,0.002946045,0.000005924891,0.0002035295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02953827,"threshold_uncertainty_score":0.05873269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992405668315343,"score_gpt":0.2763110708892536,"score_spread":0.2563870142061001,"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."}}