{"id":"W2953631411","doi":"10.5267/j.ccl.2019.6.002","title":"Synthesis of supramolecular receptors for amino acid recognition","year":2019,"lang":"en","type":"article","venue":"Current Chemistry Letters","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Supramolecular chemistry; Receptor; Stereochemistry; Amino acid; Combinatorial chemistry; Biochemistry; Organic chemistry; Molecule","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0000783387,0.0003084033,0.0002607907,0.0001627615,0.000109584,0.0001934705,0.0003208316,0.0003131913,0.001219796],"category_scores_gemma":[0.0001222836,0.000166252,0.000169847,0.000130987,0.0001107366,0.0002058535,0.0001946098,0.0003629927,0.0004744687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823357,"about_ca_system_score_gemma":0.0001112984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508171,"about_ca_topic_score_gemma":0.0003963012,"domain_scores_codex":[0.9999237,0.00001076875,0.00000527407,0.00001658462,0.00001931336,0.00002435828],"domain_scores_gemma":[0.9999405,0.000007595419,0.0000144494,0.000007351819,0.00001119164,0.00001887676],"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":[0.00002655698,0.000017918,0.0000363956,0.0000563398,0.00000558129,0.00006750802,0.000009477703,0.0002094631,0.9972818,0.0002525728,0.00006546809,0.001970945],"study_design_scores_gemma":[0.00001704449,0.0002285424,0.0005278941,0.000005293084,0.00001094237,0.0001626092,0.00001288499,0.001578252,0.9921758,0.00007184421,0.00519692,0.00001190281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699977,0.003034995,0.01905646,0.0001802679,0.0001599167,0.0001666459,0.00033107,0.0003523498,0.006720531],"genre_scores_gemma":[0.9847918,0.0008971894,0.01008689,0.00009264291,0.00001912758,0.0001005039,0.0002213504,0.00001687427,0.003773706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001219796,"threshold_uncertainty_score":0.004080653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000376571112955,"score_gpt":0.230698913207275,"score_spread":0.2206951474961455,"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."}}