{"id":"W2296593873","doi":"","title":"Combinational Multiphoton Scanning Microscopy and Multiphoton Surgery of Mouse Arteries","year":2011,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Two-photon excitation microscopy; Fluorescence-lifetime imaging microscopy; Femtosecond; Materials science; Laser; Biomedical engineering; Fluorescence; Fluorescence microscope; Optics; Microscopy; Ablation; Microscope; Laser-induced fluorescence; Microfluidics; Nanotechnology; Medicine; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001087014,0.0002759297,0.000331336,0.000117109,0.00006484703,0.00001576671,0.0001360923,0.0003781499,0.00002852985],"category_scores_gemma":[0.00009692356,0.0003039604,0.00009465095,0.0000582108,0.0001560033,0.000006613728,0.00004949893,0.0001493924,0.000002628602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001492429,"about_ca_system_score_gemma":0.000108642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001815059,"about_ca_topic_score_gemma":0.00009744413,"domain_scores_codex":[0.9989584,0.00003316259,0.0002769337,0.0004030832,0.0001180814,0.0002103593],"domain_scores_gemma":[0.9991273,0.00002394692,0.000323313,0.0002912829,0.0001784722,0.00005569914],"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":[0.000190283,0.00005597206,0.001808002,0.0001827514,0.00002881162,0.000001441371,0.0006232948,5.101834e-7,0.9954771,0.00001218427,0.0009153399,0.0007042879],"study_design_scores_gemma":[0.0001757864,0.00007259821,0.001822863,0.0001649834,0.0000183564,0.000003605885,0.0005810673,0.000006888587,0.9948303,0.0000244705,0.002015767,0.0002832799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971481,0.001216204,0.000562472,0.000005210945,0.0001657312,0.0002932457,0.00004432618,0.00003274697,0.0005319666],"genre_scores_gemma":[0.8964105,0.003215634,0.05115258,0.00009704266,0.0001078251,0.0002125034,0.006859471,0.0002409338,0.04170352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007376,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360614765898369,"score_gpt":0.320009979987316,"score_spread":0.3064038323283323,"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."}}