{"id":"W7143778557","doi":"10.1002/j.1538-9235.2001.tb01309.x","title":"Compensating for Vertical Anisometropic Imbalance by the Positioning of Segment Centers","year":2001,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Advanced optical system design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Offset (computer science); Point (geometry); Reading (process); Horizontal and vertical; Spectacle","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":[0.0003155543,0.00006566095,0.0001032998,0.00006819161,0.0001894457,0.00005267187,0.0001616668,0.00001901308,0.000008070714],"category_scores_gemma":[0.00009677744,0.00004648421,0.00001907507,0.0007039842,0.0002017407,0.0002030837,0.00003616528,0.00005068613,0.000003195606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004316477,"about_ca_system_score_gemma":0.000004307634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.814861e-7,"about_ca_topic_score_gemma":4.183292e-8,"domain_scores_codex":[0.9992359,0.00001038458,0.000162033,0.0001475692,0.0002366795,0.0002074844],"domain_scores_gemma":[0.9995217,0.0002270158,0.00001844629,0.000118785,0.00004437495,0.00006969599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002957476,0.00004179636,0.03433996,0.0001068596,0.00001005183,0.000001009869,0.0001285336,0.003872316,0.9434155,0.002200548,0.000174891,0.01567892],"study_design_scores_gemma":[0.001376274,0.0005466299,0.08237153,0.0003892576,0.00002029448,0.00005220504,0.0006242781,0.7044095,0.208005,0.0002711989,0.001513545,0.0004203072],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6648891,0.0001616832,0.3342937,0.00005477151,0.00008866395,0.0001127413,0.000003271297,0.00002306742,0.0003729801],"genre_scores_gemma":[0.9917819,0.00002186425,0.008123121,0.00003584856,0.00001316842,0.000006111778,9.314156e-7,0.00000512556,0.00001186004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7354106,"threshold_uncertainty_score":0.1895571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989255395078391,"score_gpt":0.3492175785285807,"score_spread":0.3393250245777967,"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."}}