{"id":"W4405838591","doi":"10.1097/opx.0000000000002207","title":"THANK YOU! To <i>Optometry &amp; Vision Science</i> reviewers and editors","year":2024,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optometry; Vision science; Ophthalmology; Psychology; Medicine; Computer science; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007803635,0.0002017398,0.0003021999,0.002403255,0.0008588175,0.001155576,0.0005493889,0.0000611593,0.0001038393],"category_scores_gemma":[0.001660635,0.0001373823,0.00006555866,0.01594617,0.002678999,0.001693761,0.0007391906,0.0003449639,0.0002176511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106121,"about_ca_system_score_gemma":0.0004499707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178222,"about_ca_topic_score_gemma":3.177745e-7,"domain_scores_codex":[0.9948253,0.00003810635,0.0002843629,0.00126959,0.002820969,0.0007616756],"domain_scores_gemma":[0.9975589,0.0001728933,0.00003261408,0.0005988408,0.0003671529,0.001269628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001298864,0.0001781472,0.05433784,0.001003621,0.00001273934,0.00007156873,0.0009459865,0.000003816828,0.3896673,0.0003809151,0.009561048,0.5437071],"study_design_scores_gemma":[0.001211039,0.002523074,0.3028935,0.004669449,0.00009392097,0.0006618657,0.001033012,0.009866756,0.0604527,0.0001670756,0.6153238,0.00110379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845676,0.003571573,0.00150783,0.003562558,0.00219699,0.0004511702,0.000006039496,0.00008660775,0.004049597],"genre_scores_gemma":[0.9936675,0.0009242182,0.003256056,0.0005521422,0.000511466,0.000007787869,0.0000013471,0.0000118236,0.00106766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6057628,"threshold_uncertainty_score":0.9998813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179116829711874,"score_gpt":0.4974809274879881,"score_spread":0.4756897591908694,"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."}}