{"id":"W4247382894","doi":"10.1139/i08-051","title":"Measuring and interpreting ocular blood flow and metabolism in glaucoma","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Blood flow; Glaucoma; Laser Doppler velocimetry; Indocyanine green; Ophthalmology; Fluorescein angiography; Pathology; Radiology; Retinal","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404553,0.0001060692,0.0003545901,0.0003879786,0.00007390926,0.000008216637,0.0000628863,0.00009732458,0.00009928249],"category_scores_gemma":[0.0002645469,0.00009219792,0.00005322889,0.0001088504,0.0002131912,0.00005989138,0.00001279459,0.0003145298,0.000001162346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000025453,"about_ca_system_score_gemma":0.000343485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874366,"about_ca_topic_score_gemma":0.0002086077,"domain_scores_codex":[0.9991752,0.00007237265,0.0002861278,0.0001171501,0.00008196075,0.0002671851],"domain_scores_gemma":[0.9992298,0.00004095985,0.00008445133,0.00007591253,0.00007713888,0.000491752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004211388,0.00001549447,0.9200611,0.0000276137,0.00005656698,0.07803442,0.000841021,6.498906e-7,0.0005447807,0.00003855621,0.00002690702,0.0003107736],"study_design_scores_gemma":[0.0008293565,0.0001469918,0.5815477,0.0000920003,0.00004632938,0.4166975,0.0001599976,0.0000440157,0.00009540746,0.0001039169,0.0001814408,0.00005539821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985052,0.01081232,0.000005735203,0.0006435769,0.0001588517,0.000070824,0.000001232538,0.000001414586,0.003253981],"genre_scores_gemma":[0.9988258,0.00006523336,0.0008902306,0.0000719893,0.00005320364,8.272654e-7,5.960293e-7,0.00001258838,0.00007951685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3386631,"threshold_uncertainty_score":0.3759722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930152807400671,"score_gpt":0.2321152439346819,"score_spread":0.2128137158606752,"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."}}