{"id":"W2041395494","doi":"10.1021/ja411843k","title":"Reengineering the Optical Absorption Cross-Section of Photosynthetic Reaction Centers","year":2014,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Army Research Office; Multidisciplinary University Research Initiative","keywords":"Alexa Fluor; Chemistry; Absorbance; Photosynthetic reaction centre; Photochemistry; Rhodobacter sphaeroides; Fluorescence; Absorption (acoustics); Ultrafast laser spectroscopy; Absorption cross section; Absorption spectroscopy; Molecule; Spectroscopy; Electron transfer; Analytical Chemistry (journal); Photosynthesis; Cross section (physics); Optics; Organic chemistry","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":[0.000417936,0.0002445185,0.0001336892,0.0001537714,0.0001287969,0.0003616256,0.0002599591,0.0003096192,0.0004941113],"category_scores_gemma":[0.000656912,0.0001811979,0.0001912928,0.0001722572,0.0002114031,0.0003895405,0.0002093181,0.0003955997,0.0001533069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005944051,"about_ca_system_score_gemma":0.00023548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005913433,"about_ca_topic_score_gemma":0.0005836441,"domain_scores_codex":[0.9998655,0.00002969077,0.000008699611,0.00003862939,0.00003340192,0.00002407571],"domain_scores_gemma":[0.999545,0.0001822079,0.0001277113,0.00004196425,0.00007233297,0.00003071113],"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":[0.00002705798,0.000008574349,0.0001168392,0.000007231848,0.000002300826,0.000008392754,0.000006699256,0.0004216433,0.9985735,0.0001268966,0.000004890201,0.0006959325],"study_design_scores_gemma":[0.00000315404,0.00004470429,0.0006979512,0.000001341913,0.0000043246,0.00002497435,0.000005349701,0.001811319,0.9971391,0.0000370806,0.00022786,0.000002745669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946887,0.0001522731,0.004719256,0.0000268679,0.000003625669,0.000005359817,0.00002011407,0.00001992563,0.0003638098],"genre_scores_gemma":[0.9952415,0.0001639408,0.004028528,0.00001943646,0.000001925502,0.00000758012,0.00004015302,0.00001524786,0.0004816436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005944051,"threshold_uncertainty_score":0.004312754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005483787554443565,"score_gpt":0.2350743171388377,"score_spread":0.2295905295843941,"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."}}