{"id":"W4319596620","doi":"10.1063/5.0132123.2","title":"10.1063/5.0132123.2","year":2023,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Multi-mode optical fiber; Single shot; Frame rate; Reflection (computer programming); Optics; Computer science; Digital micromirror device; Computer vision; Artificial intelligence; Endoscope; Channel (broadcasting); Optical fiber; Physics; Telecommunications","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006061615,0.002251985,0.001848141,0.002704872,0.0008975164,0.003842604,0.003067517,0.003054028,0.5686044],"category_scores_gemma":[0.002411844,0.001009886,0.001334036,0.005160563,0.0005725577,0.002153215,0.003456439,0.002241714,0.782741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133484,"about_ca_system_score_gemma":0.001236561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008017832,"about_ca_topic_score_gemma":0.008587666,"domain_scores_codex":[0.9993196,0.00006452497,0.00005115631,0.0001955285,0.0002047117,0.0001646506],"domain_scores_gemma":[0.9993154,0.000077524,0.0000390305,0.0002987843,0.0001388559,0.0001303628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003503605,0.00002064566,0.0003830511,0.0003224275,0.00001778737,0.00002091416,0.0000087302,0.0002096101,0.0001550298,0.0004156248,0.9913794,0.007031725],"study_design_scores_gemma":[0.0001134734,0.000015051,0.001316454,0.0001422473,0.00001165641,0.00006056151,0.00002872405,0.000442395,0.0005211717,0.001301363,0.9960246,0.00002232127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001004344,0.0001274617,0.0001614371,0.0001338204,0.00007084199,0.00002351678,0.9892048,0.003130464,0.007047272],"genre_scores_gemma":[0.0007501252,0.0001881418,0.0003406468,0.0001488054,0.00002029096,0.00006948067,0.9920543,0.0003422627,0.006085985],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4313956,"threshold_uncertainty_score":0.6153334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996180619286251,"score_gpt":0.2263696071014733,"score_spread":0.2164078009086108,"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."}}