{"id":"W4387798955","doi":"10.1097/opx.0000000000002076","title":"Clinical Comparison of High‐resolution and Standard Refractions and Prescriptions","year":2023,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles","funders":"","keywords":"Medical prescription; Optometry; Resolution (logic); Medicine; Computer science; Artificial intelligence; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081039,0.00006021743,0.0002279933,0.0002913922,0.0004430359,0.00002086681,0.00003422765,0.0000550071,0.00001338569],"category_scores_gemma":[0.0004932657,0.00004631876,0.00001670466,0.0008694868,0.001291003,0.0002139719,0.0001549186,0.0001263354,0.000004207457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007626425,"about_ca_system_score_gemma":0.00002661294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007471246,"about_ca_topic_score_gemma":3.309989e-7,"domain_scores_codex":[0.9991311,0.00003596513,0.0002272871,0.000249556,0.0002181126,0.0001379616],"domain_scores_gemma":[0.9993817,0.0002223218,0.00006586014,0.0001096736,0.0000985846,0.0001219137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000164068,0.0001468792,0.9861675,0.00006359259,0.00001364373,0.000001745657,0.0001991108,0.000001000828,0.002671153,0.0003934062,0.0007385879,0.009439337],"study_design_scores_gemma":[0.0005823997,0.001970219,0.9941938,0.00008206021,0.00003899334,0.00002415764,0.0006544769,0.001379648,0.0002813043,0.0001288566,0.0006187029,0.00004541794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979794,0.0004137378,0.0002024535,0.0007898708,0.0001867291,0.000113816,0.00001001984,0.00002705648,0.0002768929],"genre_scores_gemma":[0.9980697,0.0007067491,0.0009000287,0.00003484528,0.00002432655,0.000002709454,0.000002296408,0.000002299181,0.0002570688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009393919,"threshold_uncertainty_score":0.4756754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08820148706382303,"score_gpt":0.5683388591483419,"score_spread":0.4801373720845189,"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."}}