{"id":"W3020878366","doi":"10.1039/d0cc00478b","title":"Fluorescent molecular logic gates based on photoinduced electron transfer (PET) driven by a combination of atomic and biomolecular inputs","year":2020,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Photoinduced electron transfer; Fluorescence; Logic gate; Electron transfer; Chemistry; Nanotechnology; Materials science; Biological system; Computer science; Physics; Photochemistry; Biology; Algorithm; Quantum mechanics","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":[0.0001355705,0.0003628155,0.0001724678,0.000251738,0.0001490326,0.0005386755,0.0005506009,0.0003779242,0.001277247],"category_scores_gemma":[0.0003270189,0.0001994087,0.0001691468,0.0002628268,0.0004034302,0.0004608336,0.0002818236,0.0004163182,0.0002953702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265111,"about_ca_system_score_gemma":0.0001412565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714922,"about_ca_topic_score_gemma":0.0003093283,"domain_scores_codex":[0.9998767,0.00001493809,0.000006697196,0.00002523945,0.00004737663,0.00002906295],"domain_scores_gemma":[0.9999079,0.00003570888,0.00002411741,0.000008868154,0.00001051181,0.00001296068],"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":[0.0001769834,0.00004937741,0.0001733085,0.0001251504,0.00001412509,0.0001731173,0.00003319507,0.001783853,0.9689903,0.01053405,0.0005861264,0.01736052],"study_design_scores_gemma":[0.00003942024,0.0001622048,0.0004445543,0.00001004997,0.00001616839,0.0001906641,0.00001044421,0.008691546,0.9816747,0.001302911,0.007442328,0.00001495456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7511842,0.004043016,0.2116061,0.0009688373,0.0006421616,0.0003671802,0.0006419112,0.001948406,0.02859819],"genre_scores_gemma":[0.9525049,0.001476661,0.03915797,0.0003862297,0.00007440965,0.000141401,0.0001662692,0.00004991384,0.006042309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001277247,"threshold_uncertainty_score":0.004272759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417121242278845,"score_gpt":0.2392196739135481,"score_spread":0.2250484614907596,"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."}}