{"id":"W2806811342","doi":"10.1038/s41598-018-21692-4","title":"Biomining of MoS2 with Peptide-based Smart Biomaterials","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; National Institute for Nanotechnology; University of Alberta","funders":"Alberta Innovates; Western Canada Research Grid; Compute Canada","keywords":"Biomolecule; Biochemical engineering; Phage display; Biomaterial; Biological fluids; Nanotechnology; Peptide; Biopanning; Computational biology; Chemistry; Biological materials; Peptide library; Computer science; Combinatorial chemistry; Materials science; Biochemistry; Biology; Engineering; Peptide sequence; Chromatography","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":[0.00009879465,0.0003266817,0.000134709,0.0001563532,0.00009291723,0.0002021832,0.0001534238,0.0002482254,0.0007148808],"category_scores_gemma":[0.0001118793,0.0001164692,0.0001602914,0.0001053622,0.0001262142,0.0001597685,0.0002004524,0.000168775,0.0002641968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659908,"about_ca_system_score_gemma":0.00008801785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001948261,"about_ca_topic_score_gemma":0.0005178213,"domain_scores_codex":[0.9999472,0.000007612896,0.000004242924,0.00001045296,0.00001803899,0.00001248917],"domain_scores_gemma":[0.9999499,0.00001026734,0.00001324651,0.000005607565,0.000007900855,0.00001304321],"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":[0.00001163264,0.000005210204,0.00004306432,0.00001595638,0.000001977695,0.00002148204,0.000004469335,0.0001445569,0.9992743,0.00003328915,0.00001611401,0.0004279193],"study_design_scores_gemma":[0.000005951201,0.00008199499,0.0006498991,0.000001987095,0.000004008439,0.00005246994,0.000009455488,0.001378661,0.9968381,0.00002291212,0.0009501853,0.000004348809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941566,0.0004041757,0.003885631,0.0000350991,0.00002230341,0.00002857611,0.0001049974,0.00006541149,0.001297142],"genre_scores_gemma":[0.9912336,0.0002608695,0.006778789,0.00004435971,0.000007841156,0.00002260717,0.0001048574,0.00001303477,0.00153405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007148808,"threshold_uncertainty_score":0.002391458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350555151211093,"score_gpt":0.2836161393732041,"score_spread":0.2601105878610931,"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."}}