{"id":"W2032763247","doi":"10.1038/srep01805","title":"In vivo minimally invasive interstitial multi-functional microendoscopy","year":2013,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Biomedical engineering; In vivo; Image resolution; Computer science; Preclinical imaging; Radiology; Medicine; Biology; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002526193,0.0001369192,0.0001366373,0.000193409,0.0000777004,0.0001931977,0.0000909377,0.00004115913,0.001811028],"category_scores_gemma":[0.0001298456,0.0001368008,0.00005383788,0.0002384149,0.0001357058,0.0004049381,0.00003372292,0.0001430432,0.0001656968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202036,"about_ca_system_score_gemma":0.00009725666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001069859,"about_ca_topic_score_gemma":0.00007680806,"domain_scores_codex":[0.9986683,0.00001084625,0.0003967931,0.0003693485,0.0002086679,0.0003460839],"domain_scores_gemma":[0.9994453,0.00004317853,0.00005572794,0.0002911708,0.00007249875,0.00009217969],"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":[0.000001803204,0.00003010306,0.001702758,0.00002657582,0.00001068695,0.0002840793,0.0003158472,0.002122403,0.8838074,0.00000418682,0.1115863,0.0001077664],"study_design_scores_gemma":[0.0007498253,0.00002099805,0.004337117,0.0001916021,0.00002097414,0.0009984189,0.000677937,0.04833764,0.9164153,0.00165792,0.02597775,0.0006144834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746335,0.00009944889,0.006160995,0.00006197508,0.01488767,0.0003051476,0.000003775988,0.0001496727,0.00369779],"genre_scores_gemma":[0.9934665,0.000002993597,0.003241293,0.00006136541,0.00007848647,0.00005278764,0.0000112087,0.00002008987,0.003065297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08560859,"threshold_uncertainty_score":0.9991015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009602849790280052,"score_gpt":0.2089952648830662,"score_spread":0.1993924150927861,"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."}}