{"id":"W2059932935","doi":"10.1117/1.1383779","title":"Imaging of whole tumor cut sections using a novel scanning beam confocal fluorescence MACROscope®","year":2001,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; University of Waterloo","keywords":"Fluorescence; Confocal; Materials science; Optics; Fluorescence-lifetime imaging microscopy; Beam (structure); Confocal microscopy; Biomedical engineering; Medicine; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005534889,0.0001518228,0.0003795829,0.0001924845,0.0001360383,0.00008347014,0.0004119226,0.00006950513,0.0001883566],"category_scores_gemma":[0.0003642496,0.0001222227,0.0001265407,0.0004623914,0.0005970188,0.0002512344,0.00009956122,0.0002827223,0.000004676683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007039373,"about_ca_system_score_gemma":0.0003429814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008322726,"about_ca_topic_score_gemma":0.000002613394,"domain_scores_codex":[0.9979286,0.00003035402,0.0008350763,0.0001679332,0.0006895298,0.0003485516],"domain_scores_gemma":[0.9984076,0.0001053316,0.0006404974,0.0001767082,0.0003696424,0.0003002111],"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":[0.0000656544,0.0001152372,0.002157968,0.00002850013,0.000009647403,0.0001036777,0.000146625,0.0001575251,0.9966804,0.00003536017,0.0002185492,0.0002808842],"study_design_scores_gemma":[0.001597885,0.0003515367,0.002633156,0.0007295247,0.0001039609,0.007210806,0.0006291445,0.02561181,0.9575158,0.0001205693,0.003194471,0.0003012776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880499,0.0001799975,0.009801629,0.0002587065,0.001532499,0.00007287681,0.00003515771,0.00001172841,0.00005745551],"genre_scores_gemma":[0.9785661,0.0000212757,0.02075212,0.0001734177,0.0004468689,5.142156e-7,0.000001319858,0.00001530234,0.00002309543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03916452,"threshold_uncertainty_score":0.4984096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693004382124267,"score_gpt":0.2836112552380984,"score_spread":0.2666812114168557,"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."}}