{"id":"W1969643542","doi":"10.1117/12.729387","title":"Time-of-flight non-contact fluorescence diffuse optical tomography with numerical constant fraction discrimination","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Physics; Detector; Optics; Photon; Position (finance); Time of flight; Diffuse optical imaging; Tomographic reconstruction; Photon counting; Projection (relational algebra); Tomography; Algorithm; Computer science","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":[0.0004264709,0.000338789,0.0002801709,0.0003677578,0.0001570411,0.0006440968,0.00102018,0.0005667573,0.000850428],"category_scores_gemma":[0.001645377,0.0002065223,0.0002229871,0.0003626929,0.0004948424,0.0009688649,0.0006422122,0.0004671848,0.000239484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006497976,"about_ca_system_score_gemma":0.0005015485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007385591,"about_ca_topic_score_gemma":0.001303048,"domain_scores_codex":[0.9997481,0.00004347113,0.0000100814,0.00004643277,0.0001331613,0.00001874548],"domain_scores_gemma":[0.9994283,0.0002595916,0.00009133178,0.0001235477,0.00006347847,0.00003365219],"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":[0.0005881988,0.0001122999,0.003427086,0.0003541828,0.00002990854,0.000583706,0.0002417409,0.05523277,0.6829962,0.0379276,0.001293417,0.217213],"study_design_scores_gemma":[0.00004688378,0.000215697,0.001743705,0.00002027967,0.00001663658,0.001919572,0.00003883919,0.6509293,0.3314953,0.004924261,0.00858008,0.00006949236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03059788,0.0001863088,0.9678519,0.00008229717,0.00001840467,0.00004108011,0.00005521884,0.0003180002,0.0008488941],"genre_scores_gemma":[0.2292135,0.0002113923,0.7691558,0.00005690023,0.00001368403,0.00008129932,0.00007507845,0.00005025251,0.0011421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00102018,"threshold_uncertainty_score":0.004714608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007311489901075547,"score_gpt":0.2498521532217038,"score_spread":0.2425406633206283,"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."}}