{"id":"W2996905404","doi":"10.1021/acsomega.9b03333","title":"Revealing the Hydrolysis Mechanism of a Hg<sup>2+</sup>-Reactive Fluorescein Probe: Novel Insights on Thionocarbonated Dyes","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Mercury (programming language); Hydrolysis; Metal ions in aqueous solution; Fluorescein; Chemistry; Fluorescence; Chloride; Pollutant; Mechanism (biology); Metal; Combinatorial chemistry; Molecule; Environmental chemistry; Photochemistry; Nanotechnology; Computer science; Organic chemistry; Materials science; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001391452,0.0002130168,0.0002686231,0.0001011172,0.00009725845,0.00003104173,0.0002536527,0.0002002192,0.00006025097],"category_scores_gemma":[0.00008537078,0.0001504591,0.0001417214,0.000284491,0.00003382279,0.00008736998,0.00006650341,0.0003320474,0.00005812813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006613239,"about_ca_system_score_gemma":0.00003031238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001197042,"about_ca_topic_score_gemma":0.000004104991,"domain_scores_codex":[0.9986829,0.00004094645,0.0003026394,0.0003712591,0.0003849117,0.0002173263],"domain_scores_gemma":[0.9989224,0.0001037073,0.0002106393,0.0006011446,0.0001108708,0.00005124259],"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":[0.00009405115,0.0001093977,0.00002269841,0.00005023614,0.0001258271,0.00000431008,0.0009855874,0.0009156526,0.9932523,0.003806194,0.00003283319,0.0006008638],"study_design_scores_gemma":[0.0006434954,0.00009051473,0.00002991695,0.0001046694,0.00005486525,0.00001114231,0.0003715179,0.01902282,0.9770783,0.0009939478,0.001402398,0.0001964242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890149,0.00006809032,0.0001688714,0.0001461935,0.00006516263,0.0002092348,0.00001019398,0.00006755624,0.01024974],"genre_scores_gemma":[0.9976501,0.00001987337,0.000143696,0.00014209,0.00007760293,0.00002281614,0.00001924732,0.0000376176,0.001886903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01810717,"threshold_uncertainty_score":0.6135542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00856175072766622,"score_gpt":0.2043114426609346,"score_spread":0.1957496919332684,"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."}}