{"id":"W3191095354","doi":"10.1016/j.ccr.2021.214127","title":"Enhancing the photophysical properties of Ru(II) complexes by specific design of tridentate ligands","year":2021,"lang":"en","type":"article","venue":"Coordination Chemistry Reviews","topic":"Metal complexes synthesis and properties","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Deutscher Akademischer Austauschdienst; Compute Canada","keywords":"Chemistry; Artificial photosynthesis; Electrochemistry; Photosensitizer; Combinatorial chemistry; Photochemistry; Terpyridine; Metal ions in aqueous solution; Bipyridine; Ruthenium; Metal; Ligand (biochemistry); Catalysis; Redox; Photocatalysis; Organic chemistry; Crystal structure; Receptor; Physical chemistry; Electrode","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":[0.000578809,0.0001512683,0.0006683335,0.0000128314,0.00009103707,0.00001538278,0.0001402789,0.00004261287,0.0005024619],"category_scores_gemma":[0.0004327137,0.00008968521,0.0001980975,0.0002196791,0.0001451442,0.00005353569,0.00006661495,0.0001141271,0.000009319413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000255016,"about_ca_system_score_gemma":0.0000705431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004544151,"about_ca_topic_score_gemma":2.467799e-7,"domain_scores_codex":[0.9986048,0.0001084623,0.0007128959,0.0002057771,0.0002456188,0.0001224055],"domain_scores_gemma":[0.9989016,0.00008382599,0.0003202526,0.0003785777,0.0002719957,0.00004373936],"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":[0.00005937261,0.0001246686,0.00001935728,0.001085566,0.00003285587,7.254475e-7,0.0001707009,0.000001112596,0.9890377,0.00001575184,0.005327478,0.004124714],"study_design_scores_gemma":[0.0002683687,0.00004784479,0.00002639435,0.00086585,0.00007591659,0.00001774051,0.0001157896,0.00007521682,0.9379146,0.00002640115,0.06047956,0.00008630362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669478,0.1279047,0.001474844,0.001035389,0.00008082602,0.0007780371,0.00001085567,0.00002242617,0.001745147],"genre_scores_gemma":[0.9867684,0.005933994,0.0004349554,0.00007779746,0.00009383586,0.00005636757,0.00002527936,0.00001488436,0.006594467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1219707,"threshold_uncertainty_score":0.5501605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0974343358464308,"score_gpt":0.2846166106827981,"score_spread":0.1871822748363673,"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."}}