{"id":"W4310598234","doi":"10.1002/cplu.202200362","title":"A Tool, an App and a Field: Fluorescent PET Sensors, Blood Electrolyte Analysis and Molecular Logic as Products of Supramolecular Photoscience from Northern Ireland and Sri Lanka","year":2022,"lang":"en","type":"review","venue":"ChemPlusChem","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Queen's University; Japan Society for the Promotion of Science; Queen's University Belfast; Engineering and Physical Sciences Research Council; University of Colombo; China Scholarship Council; Leverhulme Trust; Procter and Gamble","keywords":"Supramolecular chemistry; Photoinduced electron transfer; Rotaxane; Fluorescence; Chemistry; Molecule; Field (mathematics); Molecular machine; Molecular orbital; Nanotechnology; Computer science; Combinatorial chemistry; Materials science; Electron transfer; Organic chemistry; 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":[0.0002877091,0.0006004871,0.001488986,0.0002351663,0.0001610111,0.0001151366,0.0002849586,0.0002917924,0.0002939336],"category_scores_gemma":[0.0003389438,0.0005522004,0.0002937851,0.0007466798,0.0001469552,0.00006179232,0.0002973484,0.0006243917,0.000001512627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000453114,"about_ca_system_score_gemma":0.0001412344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003694873,"about_ca_topic_score_gemma":0.0000363683,"domain_scores_codex":[0.9969834,0.0001517576,0.0005982437,0.001382382,0.000484265,0.0003999675],"domain_scores_gemma":[0.9982305,0.0001379075,0.0004646563,0.0008831822,0.00007825311,0.0002054649],"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":[0.0002017945,0.0006516114,0.0006368969,0.01696093,0.005301505,0.001690538,0.001226328,0.000008616482,0.6919282,0.00006034971,0.00002971285,0.2813035],"study_design_scores_gemma":[0.001496434,0.0005519711,0.00001691666,0.001087291,0.01470727,0.001254905,0.0002549386,0.0006406545,0.7068254,0.0001143872,0.2710513,0.00199861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5312548,0.4681695,0.00002291406,0.00001889918,0.00001706812,0.0002391673,0.0000671361,0.00004200183,0.0001685909],"genre_scores_gemma":[0.04354784,0.9547018,0.0008109973,0.00009054091,0.00008457382,0.00009646408,0.0004804797,0.00007650184,0.0001108109],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4877069,"threshold_uncertainty_score":0.999693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242099639660914,"score_gpt":0.2506777058785793,"score_spread":0.2382567094819702,"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."}}