{"id":"W2146277109","doi":"10.1002/bip.22700","title":"Convenient synthesis of collagen‐related tripeptides for segment condensation","year":2015,"lang":"en","type":"article","venue":"Biopolymers","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Chemistry; Tripeptide; Diketopiperazines; Peptide synthesis; Peptide; Condensation; Reagent; Protecting group; Combinatorial chemistry; Morpholine; Solid-phase synthesis; Condensation reaction; Organic chemistry; Extraction (chemistry); Chloroformate; Chromatography; Biochemistry; Catalysis","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":[0.0002201412,0.0005017414,0.0002619262,0.000252339,0.0002089221,0.0002009024,0.0002003549,0.0002518852,0.002860782],"category_scores_gemma":[0.0001742098,0.0001626526,0.0002378946,0.0002651208,0.0001345345,0.0002349211,0.0002292661,0.0004312032,0.001406558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752813,"about_ca_system_score_gemma":0.0002219224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001942398,"about_ca_topic_score_gemma":0.0005582952,"domain_scores_codex":[0.9998259,0.0000233626,0.00001461016,0.00004842187,0.00005054322,0.00003710598],"domain_scores_gemma":[0.9998738,0.00002601514,0.00003409856,0.00001766684,0.00001982173,0.0000286287],"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":[0.00002011995,0.000007122817,0.00002009812,0.00005518601,0.000003130373,0.00004833816,0.00001499734,0.0000490311,0.9980184,0.0001291761,0.00005141886,0.00158302],"study_design_scores_gemma":[0.000008364103,0.0001345331,0.0003968662,0.000005334795,0.000008213739,0.0002015099,0.000007462116,0.0003146443,0.9939086,0.00004042257,0.004967658,0.000006257419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8663876,0.005596096,0.1115477,0.0001602884,0.0001924487,0.0007807696,0.002756808,0.0005297158,0.01204865],"genre_scores_gemma":[0.9073994,0.004665518,0.0794877,0.0001153788,0.00007505534,0.0004137632,0.001908361,0.0001768342,0.005757899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002860782,"threshold_uncertainty_score":0.009570301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146813331744299,"score_gpt":0.2633039902984433,"score_spread":0.2318358569810003,"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."}}