{"id":"W4405115559","doi":"10.12968/opti.2022.265.6854.27","title":"CPD: Fundamentals of ophthalmic dispensing 27","year":2022,"lang":"en","type":"article","venue":"Optician","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Disappointment; Optometry; Reading (process); Near vision; Medicine; Complaint; Psychology; Ophthalmology; Visual acuity; Political science; Social psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002001128,0.00009546428,0.0002649834,0.0001165019,0.00006264931,0.00001119499,0.0000992953,0.00001414048,0.0009184887],"category_scores_gemma":[0.00009628321,0.00009157404,0.00006629271,0.0002295148,0.0001164849,0.00006740145,0.0001349462,0.0001743233,0.00004100581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103759,"about_ca_system_score_gemma":0.00006047297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003142219,"about_ca_topic_score_gemma":9.608448e-7,"domain_scores_codex":[0.9989408,0.00002253827,0.0002424952,0.0001706085,0.000419558,0.0002040503],"domain_scores_gemma":[0.9994514,0.00004558788,0.00008458823,0.0002866753,0.00003654156,0.00009519374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001132675,0.003914565,0.2978949,0.000992956,0.0007386612,0.004379628,0.005185946,0.0004774719,0.5063189,0.008694625,0.06135557,0.108914],"study_design_scores_gemma":[0.02382836,0.01388335,0.3035874,0.002923258,0.002013924,0.01471027,0.04024675,0.008220184,0.1002413,0.004106135,0.4837039,0.002535142],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8181835,0.0001918874,0.0000338618,0.001705864,0.0005568755,0.0002250684,0.00001206744,0.00004110952,0.1790497],"genre_scores_gemma":[0.9918445,0.000003504654,0.001638176,0.001072581,0.00008921976,0.000006278549,0.00003472111,0.0000265439,0.005284448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4223483,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988843066996026,"score_gpt":0.2956752931760063,"score_spread":0.275786862506046,"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."}}