{"id":"W6940021672","doi":"10.6084/m9.figshare.c.5651557.v2","title":"Endoscopic en-face optical coherence tomography and fluorescence imaging using correlation-based probe tracking","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Optical coherence tomography; Speckle pattern; Fluorescence-lifetime imaging microscopy; Tracking (education); Frame rate; Fluorescence; Coherence (philosophical gambling strategy); Match moving; Image resolution","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":[0.0005741343,0.0004315282,0.0002976081,0.0007087167,0.0001818308,0.0005289957,0.0005217325,0.0006792211,0.001364478],"category_scores_gemma":[0.0006070524,0.0003057483,0.0002383001,0.0006870895,0.000349371,0.0007792317,0.0009777569,0.0004451149,0.0005570453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004790175,"about_ca_system_score_gemma":0.0004542637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009604142,"about_ca_topic_score_gemma":0.001888107,"domain_scores_codex":[0.9996431,0.00006235795,0.00001414055,0.0001020764,0.0001382256,0.00004003648],"domain_scores_gemma":[0.9996799,0.0001134265,0.00007621659,0.00005601863,0.00004844769,0.00002588042],"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":[0.0003045759,0.00008105167,0.001414678,0.0001175653,0.00002191113,0.0003579225,0.00005857395,0.002712077,0.8443151,0.003840226,0.001068256,0.1457081],"study_design_scores_gemma":[0.00007952303,0.0004634012,0.01033625,0.00005892738,0.00005124741,0.003719667,0.00005607761,0.2262207,0.7348244,0.002104135,0.02196799,0.0001177473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2293037,0.002308944,0.7552443,0.0003236982,0.0001162922,0.0001918769,0.0002902423,0.001751691,0.01046919],"genre_scores_gemma":[0.3664073,0.001027001,0.6247531,0.0002771563,0.0000567405,0.0002084664,0.0003472391,0.000131172,0.00679194],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001364478,"threshold_uncertainty_score":0.004564583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057695595021942,"score_gpt":0.2304800165619055,"score_spread":0.2099030606116861,"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."}}