{"id":"W4414446263","doi":"10.1016/j.wasman.2025.115145","title":"Phage display screening for highly specific nickel- and cobalt-binding peptides for bio-recovery of metals","year":2025,"lang":"en","type":"article","venue":"Waste Management","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"K1-MET; Alberta Blue Cross; Coventry University; Universität für Bodenkultur Wien; Steirische Wirtschaftsförderungsgesellschaft; Helmholtz-Zentrum Dresden-Rossendorf","keywords":"Isothermal titration calorimetry; Phage display; Peptide; Nickel; Dissociation constant; Metal; Affinities; Titration; Peptide library","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003626449,0.0005065152,0.0004408562,0.0003899115,0.0001853567,0.0004926989,0.0002723589,0.0004308927,0.0009153796],"category_scores_gemma":[0.0002977918,0.0002035457,0.0002741215,0.0004606955,0.0001809893,0.0001625915,0.000393688,0.0004437065,0.0004135118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469003,"about_ca_system_score_gemma":0.0001505713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867223,"about_ca_topic_score_gemma":0.000656111,"domain_scores_codex":[0.9996763,0.00006500037,0.00002232912,0.00006204757,0.0001063318,0.00006801185],"domain_scores_gemma":[0.9998746,0.00004176584,0.00001762639,0.000009432839,0.00002682918,0.00002968334],"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":[0.00004279473,0.00004507416,0.0001285381,0.00002603483,0.00000445774,0.00003629192,0.00001134654,0.000102393,0.9983047,0.00002220299,0.00002949505,0.001246613],"study_design_scores_gemma":[0.0000187751,0.0005295837,0.002588419,0.000006854008,0.00002190694,0.0003048993,0.00002749959,0.001904611,0.9930487,0.00002753833,0.001511687,0.000009488516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822912,0.001081457,0.01347956,0.00009827699,0.00002581429,0.0001897251,0.0005603385,0.00015117,0.002122516],"genre_scores_gemma":[0.9813834,0.0007492,0.0130903,0.0001084168,0.00001335029,0.0001212458,0.001384523,0.0000399268,0.003109763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009153796,"threshold_uncertainty_score":0.003062248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931636891137675,"score_gpt":0.2645241809375629,"score_spread":0.2452078120261862,"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."}}