{"id":"W2802551910","doi":"10.1364/cleo_at.2018.jtu2a.107","title":"Lens-less Micro-endoscopy through highly scattering media","year":2018,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polydimethylsiloxane; Lens (geology); Endoscope; Biomedical engineering; Scattering; Materials science; Epidermis (zoology); Optics; Light scattering; Nanotechnology; Radiology; Medicine; Physics; Anatomy","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":[0.00007560982,0.0002096995,0.0003254577,0.00007114812,0.0001836187,0.00007606306,0.0001075975,0.0001257667,0.000131326],"category_scores_gemma":[0.0000321759,0.000146974,0.00004776874,0.0001147727,0.000410522,0.00009186437,0.00005019838,0.0002539029,0.0001336311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004236248,"about_ca_system_score_gemma":0.0001337901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003291685,"about_ca_topic_score_gemma":0.00000979748,"domain_scores_codex":[0.9986718,0.00003048729,0.000185596,0.0003431044,0.0002349215,0.0005340917],"domain_scores_gemma":[0.9992916,0.00006503906,0.00004986264,0.0002788763,0.0001564661,0.0001581848],"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":[0.003185497,0.001854133,0.029905,0.0006412476,0.001039448,0.001484723,0.004109506,0.000001098116,0.6961157,0.1734778,0.03453955,0.05364627],"study_design_scores_gemma":[0.009074618,0.007069719,0.01258655,0.0008455055,0.0003755904,0.0006821409,0.001850191,0.002062687,0.932901,0.006533684,0.02499148,0.001026804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682129,0.0001994194,0.0001464435,0.004839885,0.0001797836,0.0002231339,0.0000114682,0.00006439046,0.02612256],"genre_scores_gemma":[0.9940607,0.001868418,0.001473786,0.001230351,0.0002009733,0.00001350461,0.00003013908,0.00002113392,0.00110097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2367853,"threshold_uncertainty_score":0.5993426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979897256667499,"score_gpt":0.3191723308396442,"score_spread":0.2593733582729692,"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."}}