{"id":"W1976196862","doi":"10.1039/c4sc03388d","title":"A far-red emitting probe for unambiguous detection of mobile zinc in acidic vesicles and deep tissue","year":2015,"lang":"en","type":"article","venue":"Chemical Science","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Toronto Public Health","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; National Science Foundation; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Zinc; Fluorescence; Vesicle; Far-red; Microscopy; Chemistry; Nanotechnology; Photochemistry; Materials science; Optoelectronics; Optics; Biology; Physics; Biochemistry; Red light; Membrane; Organic chemistry; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238085,0.0002497811,0.0001499859,0.0002459077,0.0002896034,0.0003277355,0.0004220198,0.0007003486,0.001778002],"category_scores_gemma":[0.0001503891,0.0002532863,0.0001727869,0.0001553933,0.0004376211,0.0003526014,0.0004533588,0.000660891,0.0005087858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004192667,"about_ca_system_score_gemma":0.0003744883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000475758,"about_ca_topic_score_gemma":0.001140551,"domain_scores_codex":[0.9999007,0.00001346099,0.000003391661,0.0000388951,0.00002364932,0.00001994137],"domain_scores_gemma":[0.999911,0.00001938941,0.00001540986,0.0000115062,0.00001110603,0.0000317214],"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":[0.00002611481,0.000004304281,0.0000346687,0.00001798556,0.000001697238,0.00002074537,0.00001031247,0.00002422127,0.9987556,0.0002566591,0.00004076857,0.0008070669],"study_design_scores_gemma":[0.00001642216,0.00008067986,0.001123609,0.000008820045,0.000008949898,0.0004340172,0.00002113564,0.001183439,0.994256,0.0001564902,0.002703839,0.000006513294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957248,0.002313072,0.09445732,0.0004276264,0.00007062867,0.00006745408,0.000366499,0.0004816195,0.006091096],"genre_scores_gemma":[0.9329615,0.0008726259,0.05764683,0.0001763233,0.00001304566,0.00008066434,0.0003420959,0.00009671868,0.007810313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001778002,"threshold_uncertainty_score":0.005948007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363037119492212,"score_gpt":0.2564063708688979,"score_spread":0.2427759996739758,"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."}}