{"id":"W4411855610","doi":"10.20944/preprints202506.2356.v1","title":"3D Printed Galilean Telescope for Low Vision Patients","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Canadian Institute for Theoretical Astrophysics","keywords":"Galilean; Galilean moons; 3d printed; Telescope; Optometry; Optics; Computer graphics (images); Remote sensing; Astronomy; Physics; Computer science; Engineering; Geology; Medicine; Classical mechanics; Satellite","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003076028,0.0004342502,0.000589781,0.0002711298,0.0000715097,0.00001259971,0.0008641587,0.000976267,0.0004019509],"category_scores_gemma":[0.000587918,0.0004544655,0.0002404282,0.0001715059,0.0001101438,0.00005553155,0.001555425,0.001264587,0.0004154229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002249229,"about_ca_system_score_gemma":0.00009865926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001845735,"about_ca_topic_score_gemma":0.000009095419,"domain_scores_codex":[0.9977821,0.00003753769,0.0005992512,0.0008087639,0.0002591663,0.0005132374],"domain_scores_gemma":[0.9982755,0.00009843896,0.0001140995,0.001176055,0.0001752961,0.0001606703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004959166,0.002393585,0.3543317,0.01878972,0.002346531,0.00005327039,0.001682965,0.01625687,0.003362516,0.008348396,0.01522674,0.5767118],"study_design_scores_gemma":[0.003341979,0.000142272,0.099581,0.004054808,0.0002835319,0.000003001234,0.00007652531,0.03754185,0.1092939,0.009406894,0.7342239,0.002050358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374337,0.0003845437,0.02073847,0.0002515373,0.003691815,0.002732126,0.000190323,0.002749948,0.03182753],"genre_scores_gemma":[0.995002,0.0006002844,0.00171109,0.0001330979,0.0001350527,0.0005446391,0.0002282272,0.00006540517,0.001580207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7189972,"threshold_uncertainty_score":0.9997907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202869204499289,"score_gpt":0.3143331747427435,"score_spread":0.2823044826977507,"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."}}