{"id":"W1968845225","doi":"10.3129/i07-213","title":"Recurrent spontaneous microhyphema from iris vascular tufts","year":2008,"lang":"en","type":"letter","venue":"Canadian Journal of Ophthalmology","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"IRIS (biosensor); Medicine; Computer science; Artificial intelligence; Biometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005421599,0.001270488,0.00133515,0.001754883,0.00243853,0.001815032,0.001686119,0.009958142,0.004521762],"category_scores_gemma":[0.008071862,0.0006881767,0.001699595,0.001326509,0.001870202,0.001643465,0.0008441954,0.008052,0.001083445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00351375,"about_ca_system_score_gemma":0.001335324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007837047,"about_ca_topic_score_gemma":0.01067362,"domain_scores_codex":[0.9989659,0.0001512982,0.0001074151,0.0001497776,0.0002986898,0.0003270326],"domain_scores_gemma":[0.9955595,0.001926282,0.0006848326,0.0004331734,0.0002670011,0.00112923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00005262369,0.00003557954,0.002635357,0.0000216505,0.00001738416,0.9937847,0.00006090952,0.00004941817,0.0002636416,0.0005180803,0.001156312,0.001404457],"study_design_scores_gemma":[0.00006873911,0.00008904355,0.006107546,0.00001835608,0.00002290486,0.9906623,0.00007578998,0.0007042396,0.0003891852,0.0004621625,0.001384518,0.00001521784],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7318757,0.01445842,0.007177438,0.09559523,0.008308115,0.0003485039,0.0008465605,0.001446816,0.1399432],"genre_scores_gemma":[0.9744068,0.001300692,0.001199616,0.007585127,0.007459352,0.00004200955,0.0001209969,0.00006905756,0.007816324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009958142,"threshold_uncertainty_score":0.02549416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445467369650803,"score_gpt":0.2744802849550267,"score_spread":0.2299335479899464,"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."}}