{"id":"W3159357062","doi":"10.1088/1742-6596/1885/3/032070","title":"Organic Molecules: Desirable Candidates for NIR-II Window Bioimaging","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Photoacoustic imaging in biomedicine; Fluorescence; Near-infrared spectroscopy; Materials science; Fluorescence-lifetime imaging microscopy; Biocompatibility; High resolution; Nanotechnology; Optics","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":[0.0001380465,0.0003992799,0.0002370623,0.000206452,0.0001353747,0.0003831307,0.0002056328,0.0004540051,0.001423263],"category_scores_gemma":[0.0001131222,0.0001830539,0.0001579213,0.0001766572,0.0002091416,0.0004658203,0.0002738352,0.0004185791,0.0006712605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238752,"about_ca_system_score_gemma":0.000155009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863865,"about_ca_topic_score_gemma":0.0002291588,"domain_scores_codex":[0.9999348,0.00001122536,0.000003597617,0.00001679488,0.00001328138,0.00002037575],"domain_scores_gemma":[0.9999499,0.0000126115,0.00001649764,0.000002274496,0.000007824835,0.00001084847],"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":[0.00007069146,0.0000573397,0.0001593804,0.0008736322,0.00001168647,0.0003559502,0.00006126126,0.0006715551,0.9562988,0.01013775,0.0009591671,0.03034282],"study_design_scores_gemma":[0.00004771702,0.0005705783,0.001033706,0.0001091532,0.0000396558,0.0007064111,0.0000791559,0.002214715,0.8773183,0.0022063,0.1156426,0.0000317253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5739017,0.2864276,0.0685019,0.002491115,0.0008538681,0.0003768413,0.0005004578,0.0005796104,0.06636689],"genre_scores_gemma":[0.8691038,0.08851662,0.02498026,0.0009906916,0.0002536133,0.0002738442,0.0002914912,0.00007053751,0.01551924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001423263,"threshold_uncertainty_score":0.004761338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0150687735882868,"score_gpt":0.215558335367996,"score_spread":0.2004895617797093,"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."}}