{"id":"W3208199380","doi":"10.15353/cjo.v48i1.4469","title":"Comparison of the Distance and Near Vistech Vision Contrast Test Systems (VCTS)","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contrast (vision); Audiology; Analysis of variance; Vision test; Sensitivity (control systems); Test (biology); Visual acuity; Chart; Mathematics; Optometry; Statistics; Medicine; Psychology; Ophthalmology; Artificial intelligence; Computer science; Biology; Engineering","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":[0.001375917,0.0003962919,0.001626883,0.001731833,0.0006586315,0.0002397301,0.0005457228,0.0003272964,0.0002348042],"category_scores_gemma":[0.001950329,0.000305072,0.000441807,0.002361067,0.001015276,0.0003718756,0.00004071825,0.001388457,0.000005630336],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007613182,"about_ca_system_score_gemma":0.006305852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109017,"about_ca_topic_score_gemma":0.0008634362,"domain_scores_codex":[0.9961352,0.0002547044,0.00177632,0.0002628235,0.0007331524,0.0008377739],"domain_scores_gemma":[0.9923856,0.0005481333,0.001668069,0.0003996599,0.002155665,0.002842877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008551144,0.0001509781,0.9895831,0.0003387854,0.0005373384,0.001632898,0.0006146859,0.0000888972,0.0004808342,0.00001157304,0.006182091,0.0002933298],"study_design_scores_gemma":[0.002221254,0.001575508,0.9707533,0.002221541,0.000482642,0.01342004,0.003273787,0.0001766018,0.0009662418,0.000002209284,0.00463684,0.0002700438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698259,0.02371737,0.0002084456,0.003087471,0.002065827,0.0002384554,0.0001571375,0.000003164901,0.000696207],"genre_scores_gemma":[0.9982101,0.000178573,0.0004425454,0.000277001,0.000373683,0.000001148847,0.000003998769,0.00004854174,0.0004643692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02838422,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260781152653706,"score_gpt":0.3833144626217374,"score_spread":0.3607066510952003,"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."}}