{"id":"W2473599426","doi":"10.1021/bk-2005-0896.ch009","title":"Antifreeze Glycoprotein Analogs: Synthesis, In Vitro Testing, and Applications","year":2005,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Glycoconjugate; Antifreeze; Glycoprotein; Combinatorial chemistry; Chemistry; Antifreeze protein; In vitro; Rational design; Chemical synthesis; Stereochemistry; Biological activity; Biochemistry; Nanotechnology; Organic chemistry; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001496407,0.0004352921,0.0002210047,0.0002042043,0.00008856206,0.0003118761,0.000377855,0.0003801436,0.001574887],"category_scores_gemma":[0.0001151151,0.0001461371,0.0001187535,0.0002811178,0.0001100324,0.0003874056,0.0001193833,0.0006378213,0.0009908128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549976,"about_ca_system_score_gemma":0.0001503565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003608679,"about_ca_topic_score_gemma":0.0004982117,"domain_scores_codex":[0.9999335,0.00001058919,0.000004523568,0.00001357368,0.00003192764,0.000005859194],"domain_scores_gemma":[0.9999532,0.00001254207,0.000006812336,0.000005364338,0.00001412067,0.000008036943],"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":[0.0000668905,0.00008124732,0.00005899352,0.0002761011,0.000004602214,0.00009307973,0.00004337382,0.0006083242,0.930809,0.00107101,0.001330877,0.0655565],"study_design_scores_gemma":[0.00002076726,0.0008058505,0.0005247638,0.00003083914,0.00001917715,0.0008301652,0.00001560192,0.0007804871,0.8874262,0.000380661,0.1091538,0.00001176482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4974571,0.2896628,0.1043103,0.001390432,0.0008555264,0.000903187,0.002452632,0.0011634,0.1018046],"genre_scores_gemma":[0.6060704,0.2044325,0.09051245,0.001176948,0.000245699,0.0004163111,0.004545554,0.000215628,0.09238452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001574887,"threshold_uncertainty_score":0.005268455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669902693771035,"score_gpt":0.2145391690169745,"score_spread":0.1978401420792641,"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."}}