{"id":"W4239095482","doi":"10.26434/chemrxiv.8125031","title":"Golden Opportunity: A Clickable Azide-Functionalized [Au25(SR)18]-Nanocluster Platform for Interfacial Surface Modifications","year":2019,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Nanoclusters; Azide; Chemistry; Alkyne; Cycloaddition; Ligand (biochemistry); Crystallography; Stereochemistry; Nanotechnology; Materials science; Catalysis; Organic chemistry","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":[0.00085777,0.0005831838,0.0008270504,0.0001381045,0.0003792413,0.0004572151,0.001277579,0.0006114357,0.004409251],"category_scores_gemma":[0.0002231244,0.0005649832,0.000454152,0.000178631,0.0001751334,0.0002987793,0.001033631,0.0004222945,0.001250962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002856994,"about_ca_system_score_gemma":0.0007555945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009266187,"about_ca_topic_score_gemma":0.00002569234,"domain_scores_codex":[0.9966049,0.00005678481,0.0009604495,0.001284388,0.0004400589,0.0006534824],"domain_scores_gemma":[0.9964007,0.0004350648,0.0006439246,0.001782823,0.0004299147,0.0003075839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005347693,0.001058632,0.0003637924,0.001550407,0.0002797877,0.000003295256,0.001200304,0.006368331,0.7376217,0.01200126,0.2331675,0.005850255],"study_design_scores_gemma":[0.001898613,0.00007788389,0.0002552112,0.0004096073,0.0003866673,0.00001598077,0.0002484483,0.0108975,0.418818,0.009862718,0.555483,0.001646322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7787814,0.001176226,0.1690712,0.004113943,0.006070163,0.007755452,0.00160983,0.0009677117,0.03045411],"genre_scores_gemma":[0.899439,0.0001890655,0.01459324,0.0008702259,0.001070743,0.002692613,0.001092871,0.0002201728,0.07983201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3223156,"threshold_uncertainty_score":0.9996802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109700492751917,"score_gpt":0.3116539069571226,"score_spread":0.2019534142052057,"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."}}