{"id":"W2954075618","doi":"10.13130/vetro-maria_phd2014-12-18","title":"USING SYNTHETIC APPROCHES TO GLYCOCONJUGATES TO UNDERSTAND CARBOHYDRATE-MEDIATED BIOCHEMICAL INTERACTIONS","year":2014,"lang":"en","type":"dissertation","venue":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycoconjugate; Computational biology; Carbohydrate; Chemistry; Biochemistry; Data science; Biology; Computer science; Communication; Cognitive science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001242408,0.0005225217,0.0004989709,0.0004797293,0.000403271,0.00006942488,0.000503112,0.0002605154,0.00005571694],"category_scores_gemma":[0.000215756,0.0005834154,0.0002595305,0.0005741079,0.00009557758,0.00001616505,0.0002573182,0.0002424434,0.0001154319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197202,"about_ca_system_score_gemma":0.0002306574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001093575,"about_ca_topic_score_gemma":0.001108195,"domain_scores_codex":[0.9976218,0.00009358019,0.0003799699,0.001077641,0.0003543562,0.0004726007],"domain_scores_gemma":[0.9984421,0.0001036053,0.0002017209,0.0005886204,0.0003159287,0.0003480591],"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":[0.0005580332,0.0002384169,0.000245088,0.0001731848,0.0006251841,0.00001483247,0.001554772,0.002081312,0.9857422,0.0005960396,0.007930666,0.0002402537],"study_design_scores_gemma":[0.006067073,0.003057346,0.01626264,0.003253592,0.005872104,0.0001473967,0.06499131,0.00964084,0.6292015,0.0006337872,0.2498363,0.01103606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773277,0.0006550514,0.007910152,0.0001249571,0.0005236706,0.0007627995,0.0002978438,0.0000433176,0.0123545],"genre_scores_gemma":[0.9803655,0.0001669484,0.001227555,0.0002272812,0.0002856473,0.00003068981,0.01044018,0.00009305286,0.007163133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3565407,"threshold_uncertainty_score":0.9996617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942464345088765,"score_gpt":0.258831580755491,"score_spread":0.2394069373046034,"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."}}