{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003363237,0.0004997075,0.0003003568,0.0006680392,0.0002099047,0.000683237,0.0005193509,0.001144404,0.002924985],"category_scores_gemma":[0.001018413,0.0002144953,0.001410282,0.0002502865,0.0004058737,0.000467732,0.0007080134,0.0005039789,0.0009195589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000336003,"about_ca_system_score_gemma":0.000286719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005448096,"about_ca_topic_score_gemma":0.000694114,"domain_scores_codex":[0.9996185,0.00006706193,0.00002835273,0.00005635173,0.0001816685,0.00004799964],"domain_scores_gemma":[0.9995024,0.0001354203,0.00009536862,0.000137726,0.00006732121,0.00006181849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008260097,0.0002585973,0.009474639,0.0005361526,0.0001310419,0.007639738,0.0003977029,0.005968497,0.818137,0.001059321,0.00327113,0.1523001],"study_design_scores_gemma":[0.000386922,0.007301977,0.1286388,0.0002327904,0.0005182825,0.156988,0.0004443695,0.05664556,0.5589231,0.002186329,0.08716016,0.0005735233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6034564,0.005173717,0.3721075,0.001264418,0.0007387892,0.0003020526,0.0005855934,0.003419033,0.01295251],"genre_scores_gemma":[0.8397126,0.001150216,0.153493,0.0004877208,0.0001201964,0.00008638646,0.0002325309,0.0001620374,0.004555365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002924985,"threshold_uncertainty_score":0.009785056,"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."}}