{"id":"W2971130387","doi":"10.1109/pn.2019.8819516","title":"Development of Instrumentation and Methods to Image the Retina in Mouse Pup with in vivo Non-Invasive Optical Coherence Tomography","year":2019,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Optical coherence tomography; Retina; Retinopathy of prematurity; Retinal; Instrumentation (computer programming); In vivo; Coherence (philosophical gambling strategy); Optical tomography; Computer science; Preclinical imaging; Tomography; Optics; Computer vision; Biomedical engineering; Ophthalmology; Medicine; Biology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070934,0.0005165878,0.0002871811,0.0006775987,0.0002730417,0.0003762198,0.0007324604,0.0004393229,0.001428825],"category_scores_gemma":[0.0007496082,0.0004059269,0.0002964796,0.0002931011,0.0003440931,0.0005074951,0.0004832669,0.0009164621,0.0004362612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244226,"about_ca_system_score_gemma":0.0006299303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005210362,"about_ca_topic_score_gemma":0.001067623,"domain_scores_codex":[0.9996019,0.00005994862,0.00002894119,0.00007767649,0.0002021314,0.00002938944],"domain_scores_gemma":[0.9992449,0.000150547,0.0001605665,0.0001483739,0.0002324861,0.00006309584],"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":[0.00004886969,0.00004988292,0.001117007,0.0001146579,0.00001095948,0.0001062692,0.00007641783,0.000334283,0.9691939,0.001142612,0.0003807515,0.02742435],"study_design_scores_gemma":[0.00002289138,0.0006592472,0.01039031,0.00007431654,0.00005379062,0.0009316503,0.00008121575,0.006606265,0.955821,0.0005352072,0.024785,0.00003910422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08697278,0.001495997,0.9052106,0.000496926,0.0001021195,0.0006409052,0.0005470604,0.00160577,0.002927927],"genre_scores_gemma":[0.1026459,0.002452374,0.8905242,0.0002128553,0.00003574287,0.0009392525,0.000412615,0.0001655421,0.002611492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001428825,"threshold_uncertainty_score":0.005663693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008287719693587228,"score_gpt":0.2613078023037333,"score_spread":0.2530200826101461,"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."}}