{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003265584,0.0003449619,0.0001896476,0.0001745938,0.0001335105,0.0002000579,0.0003283838,0.0005059955,0.001243595],"category_scores_gemma":[0.0002032145,0.0001643687,0.000177526,0.00006749376,0.0002094872,0.0002543472,0.0002899996,0.0004486439,0.0002512805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128302,"about_ca_system_score_gemma":0.000136116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002015753,"about_ca_topic_score_gemma":0.0003083284,"domain_scores_codex":[0.9998308,0.00003135471,0.000007931288,0.00004412492,0.0000595463,0.00002609075],"domain_scores_gemma":[0.9998819,0.00003625454,0.00002490828,0.00002051138,0.00001502618,0.00002143981],"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":[0.00002829863,0.00001603392,0.00005850682,0.00002830708,0.000001840188,0.0000482589,0.000008450574,0.00005503828,0.9964513,0.0001416946,0.00008718039,0.003075192],"study_design_scores_gemma":[0.00001845462,0.0003338252,0.002282783,0.000008902106,0.00001406154,0.00105539,0.00001761564,0.002488129,0.9843465,0.000135961,0.00928688,0.00001145169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6181734,0.007560418,0.3635475,0.0004030581,0.000257844,0.0003233268,0.0004870319,0.001254467,0.007993092],"genre_scores_gemma":[0.7984198,0.002604906,0.1885277,0.0002605193,0.0001029863,0.0002960545,0.0004847042,0.0001088242,0.009194505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001243595,"threshold_uncertainty_score":0.004160225,"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."}}