{"id":"W6993190959","doi":"","title":"Novel segmentation algorithm for high-throughput
\\nanalysis of spectral domain-optical coherence
\\ntomography imaging of teleost retina","year":2023,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ocean Frontier Institute; Memorial University of Newfoundland","keywords":"Segmentation; Thresholding; Pixel; Image segmentation; Repeatability; Software; Optical coherence tomography; Process (computing)","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":[0.0005703633,0.0006170315,0.0005939586,0.001246897,0.0005706164,0.001282803,0.001157765,0.0009768682,0.002091474],"category_scores_gemma":[0.001212584,0.0004818047,0.0006602907,0.0009339133,0.000448713,0.0007121853,0.0007022474,0.0006378372,0.001461352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008513214,"about_ca_system_score_gemma":0.001663967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872471,"about_ca_topic_score_gemma":0.005326397,"domain_scores_codex":[0.9992356,0.00006017061,0.00006435744,0.0002714417,0.0003076603,0.00006077837],"domain_scores_gemma":[0.9993085,0.000138215,0.00008120871,0.00009532111,0.0003460283,0.00003069721],"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":[0.0002739193,0.0001136764,0.002083889,0.0001645568,0.00007018587,0.0002574184,0.000200947,0.02131526,0.4909774,0.004061101,0.004916487,0.4755651],"study_design_scores_gemma":[0.00002886855,0.0001331126,0.003748234,0.00002424484,0.00004051725,0.0004797698,0.00006047685,0.7169535,0.2601041,0.001922371,0.0164404,0.00006440914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0171448,0.0001490595,0.9786832,0.00008077251,0.0000515653,0.0000894019,0.0001264895,0.00268959,0.0009850904],"genre_scores_gemma":[0.05605063,0.0001520691,0.9403663,0.00008194012,0.00002948728,0.000195244,0.0005350824,0.0002736878,0.002315611],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003872471,"threshold_uncertainty_score":0.007699907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603736580367435,"score_gpt":0.2584497033669424,"score_spread":0.242412337563268,"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."}}