{"id":"W2169287185","doi":"10.1109/tbme.2010.2077637","title":"Real-Time Multispectral Imager for Home-Based Health Care","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Multispectral image; Computer science; Mobile device; Signature (topology); Computer vision; Artificial intelligence; Real-time computing","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":[0.0003412817,0.0003320796,0.0003599732,0.0002334564,0.0001764994,0.0003834124,0.0006801501,0.00065248,0.006756746],"category_scores_gemma":[0.0004507812,0.0001325693,0.0002251377,0.0002115454,0.0001710562,0.0003748099,0.0003208368,0.0005721633,0.002412715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002236709,"about_ca_system_score_gemma":0.0002169576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001882323,"about_ca_topic_score_gemma":0.0004401353,"domain_scores_codex":[0.9997538,0.00006525541,0.00001146903,0.00004771612,0.0001055991,0.00001626099],"domain_scores_gemma":[0.9997066,0.00008364578,0.00004745393,0.00006087351,0.00007139294,0.00003001643],"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":[0.0005680182,0.000217345,0.001643866,0.00024594,0.00002939865,0.0008532482,0.0001126895,0.0007426859,0.6807004,0.002415464,0.01287219,0.2995988],"study_design_scores_gemma":[0.0001585298,0.001604919,0.01235206,0.00008911655,0.00015892,0.007834004,0.0001837524,0.05480346,0.8124346,0.001929558,0.1083312,0.0001198278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1919131,0.008091751,0.760438,0.003230915,0.001213398,0.0005297916,0.0008691221,0.009424157,0.02428966],"genre_scores_gemma":[0.4729765,0.002276608,0.5040715,0.001414073,0.0004922204,0.0002765543,0.0004224218,0.0003358273,0.0177343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006756746,"threshold_uncertainty_score":0.02260357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005985547091444157,"score_gpt":0.285569914563309,"score_spread":0.2795843674718648,"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."}}