{"id":"W4404468015","doi":"10.1159/000542152","title":"Acknowledgement to Reviewers","year":2024,"lang":"en","type":"article","venue":"Ophthalmologica","topic":"Ocular Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Optometry; Medicine; Computer science; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008610647,0.0001048636,0.000084619,0.00002619221,0.0000408567,0.00003291414,0.0001139969,0.00005999638,0.0003580352],"category_scores_gemma":[0.00003920501,0.00008052508,0.00008927293,0.0001030671,0.00001756226,0.000001297467,0.00009828425,0.0000329286,0.001047626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001086751,"about_ca_system_score_gemma":0.0000200125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002193694,"about_ca_topic_score_gemma":7.792525e-7,"domain_scores_codex":[0.9993331,0.00002439272,0.00008931843,0.0003244705,0.00006679942,0.0001619607],"domain_scores_gemma":[0.9996589,0.000003577748,0.000008728181,0.0002331415,0.00002676326,0.00006892113],"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":[0.0002303355,0.001134251,0.02185254,0.0004953922,0.001218273,0.00167445,0.0002593973,0.0001080688,0.2330556,0.003663954,0.4764306,0.2598772],"study_design_scores_gemma":[0.0001317442,0.0006900521,0.003058472,0.0000462561,0.00002719399,0.00008558809,0.00002025909,0.000007217359,0.008520234,0.0003851629,0.9868314,0.0001963983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.857253,0.02729486,0.000447208,0.0007734694,0.0008142057,0.0004838743,0.00001878499,0.00005104598,0.1128636],"genre_scores_gemma":[0.9895757,0.0003865471,0.0009833807,0.0002158822,0.0001177844,0.0000684682,0.00005316431,0.00001416824,0.008584858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5104008,"threshold_uncertainty_score":0.9997302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578410978293573,"score_gpt":0.3084411483701671,"score_spread":0.2926570385872314,"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."}}