{"id":"W4389455094","doi":"10.15353/cjo.v85i4.5553","title":"Clinical Procedures: A New Test to Examine the Different Components in Subjective Monocular Refraction","year":2023,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chart; Monocular; Computer science; Test (biology); Medical prescription; Optometry; Test method; Confusion; Principal (computer security); Medical physics; Artificial intelligence; Medicine; Mathematics; Statistics; Psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002798632,0.0005040661,0.001133181,0.008555186,0.0003314047,0.0002768628,0.00149698,0.0004150176,0.0006892494],"category_scores_gemma":[0.002439551,0.0004133114,0.0006963559,0.004963512,0.0002635569,0.0004079299,0.00004024146,0.0020065,0.0001830472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431182,"about_ca_system_score_gemma":0.005162443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01932227,"about_ca_topic_score_gemma":0.04405934,"domain_scores_codex":[0.9948929,0.000428505,0.002240052,0.0004456344,0.0005776151,0.0014153],"domain_scores_gemma":[0.9913484,0.0009290735,0.001304812,0.0005272985,0.0006827782,0.00520757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001339446,0.00009743043,0.9657764,0.00003195778,0.0004623171,0.001106406,0.001471312,0.0002735398,0.00009192951,0.00001205018,0.02553889,0.005003792],"study_design_scores_gemma":[0.002303322,0.0007723322,0.9827558,0.0003888061,0.0001171891,0.0007345924,0.003344647,0.00004540586,0.00001952416,0.00002191861,0.009082998,0.0004134578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863676,0.001817638,0.0002290599,0.005572926,0.004253695,0.0004659739,0.00009209086,0.000008702116,0.001192335],"genre_scores_gemma":[0.9965146,0.0002535483,0.0002687631,0.0009607685,0.001006195,0.000007422554,0.00001198267,0.0001020985,0.0008746071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02473706,"threshold_uncertainty_score":0.9998319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103420266602289,"score_gpt":0.3785035223149383,"score_spread":0.3374693196489154,"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."}}