{"id":"W2770427608","doi":"10.1109/ukrcon.2017.8100501","title":"NMR properties of Fenna-Matthews-Olson light harvesting complex: Photosynthesis and its biomedical applications","year":2017,"lang":"en","type":"article","venue":"2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON)","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bacteriochlorophyll; Photosynthesis; Density functional theory; Chemistry; Chemical physics; Physics; Computational 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007434547,0.0002609883,0.0004186875,0.00006577129,0.000421079,0.0001453737,0.0003001456,0.00006507519,0.00002397841],"category_scores_gemma":[0.00002066247,0.0002082192,0.00006397024,0.00006742605,0.0001170076,0.0001138512,0.0001146085,0.0002288918,0.000008337085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001321674,"about_ca_system_score_gemma":0.00002040193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006052342,"about_ca_topic_score_gemma":0.000002021686,"domain_scores_codex":[0.9988846,0.00001184695,0.0002442939,0.0003610625,0.0001540703,0.0003441314],"domain_scores_gemma":[0.9992645,0.00009953382,0.0001487107,0.0002527258,0.000072575,0.0001619359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001688009,0.00113544,0.003536894,0.0009028793,0.0008304926,0.0000129539,0.001088423,0.0001814253,0.7812479,0.1253861,0.00207613,0.0834325],"study_design_scores_gemma":[0.001482102,0.0006265261,0.01084371,0.0007942807,0.0001199226,0.00001654251,0.00001863567,0.7616959,0.1859844,0.0007795726,0.03655185,0.001086567],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420382,0.0006634432,0.05077296,0.003895205,0.0001688435,0.0006915571,0.00006096245,0.0001584066,0.001550394],"genre_scores_gemma":[0.9986481,0.0000734239,0.0007240468,0.00002527336,0.000349346,0.00008467552,0.00000540734,0.00001625556,0.00007345266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7615145,"threshold_uncertainty_score":0.8490933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425373321429438,"score_gpt":0.2397190107741158,"score_spread":0.2054652775598214,"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."}}