{"id":"W4237097111","doi":"10.26434/chemrxiv.7323989","title":"N-Heterocyclic carbene-functionalized magic number gold nanoclusters","year":2018,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nanoclusters; Carbene; Metal; Cluster (spacecraft); Ligand (biochemistry); Chemistry; Gold cluster; Nanotechnology; Crystallography; Catalysis; Materials science; Computational chemistry; Organic chemistry; Electronic structure","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003219258,0.0004940093,0.0005679039,0.00007926761,0.0001538351,0.0002954965,0.000991333,0.0004378975,0.008528091],"category_scores_gemma":[0.00005150425,0.0004589155,0.00032529,0.0001471291,0.0002761437,0.0001113088,0.001093491,0.0003090922,0.00787471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833211,"about_ca_system_score_gemma":0.00010793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009822491,"about_ca_topic_score_gemma":0.00001581796,"domain_scores_codex":[0.9972055,0.00009197437,0.0005922621,0.001140641,0.0004522144,0.000517418],"domain_scores_gemma":[0.9976686,0.0001056181,0.0003980185,0.001446538,0.000179656,0.0002016165],"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":[0.00007704858,0.000273454,0.000877464,0.0004104492,0.0001051598,0.000009326116,0.0003286381,0.00007306731,0.9007242,0.0008218192,0.09500841,0.001290998],"study_design_scores_gemma":[0.0008964111,0.00002575479,0.001527842,0.0003729827,0.0002474112,0.00004480066,0.0000520964,0.000371174,0.7535927,0.009213156,0.2321896,0.00146598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474036,0.0003064612,0.001476893,0.000893401,0.002959683,0.0006746933,0.00005435245,0.0004033084,0.04582764],"genre_scores_gemma":[0.9741313,0.00007835076,0.005469867,0.000747628,0.001602304,0.00053972,0.000128484,0.0001140488,0.01718826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471314,"threshold_uncertainty_score":0.9997863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539460706292882,"score_gpt":0.2716953010433626,"score_spread":0.2463006939804338,"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."}}