{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001802411,0.0003392874,0.0004189677,0.00002718542,0.0001953434,0.00009615168,0.0002869253,0.0003213676,0.0002506955],"category_scores_gemma":[0.00005163792,0.0001418894,0.00006938131,0.00009904374,0.0002137955,0.0001540198,0.0001738743,0.0003090466,0.00004932482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003636629,"about_ca_system_score_gemma":0.00001235881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001208884,"about_ca_topic_score_gemma":0.0002192066,"domain_scores_codex":[0.9986635,0.00003681709,0.0003011262,0.0005162992,0.0001735047,0.0003087782],"domain_scores_gemma":[0.9989713,0.0006031584,0.0001678481,0.00008630246,0.000052422,0.0001189196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005271019,0.00004886737,0.0001126538,0.0000354649,0.00002030323,0.00002113896,0.000008013818,0.000002429903,0.8494664,0.004354471,0.0002540187,0.1456235],"study_design_scores_gemma":[0.0002189149,0.0004467475,0.003516749,0.0002494443,0.0001197758,0.00006695016,0.00002348378,0.00002081627,0.07141224,0.01354891,0.9091812,0.00119473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07458689,0.004762994,0.000003535254,0.009266247,0.0001845858,0.003363305,0.001074499,0.0005570605,0.9062009],"genre_scores_gemma":[0.8528746,0.004177626,0.0006511595,0.001211904,0.002480113,0.0009247661,0.0002619743,0.00001644821,0.1374015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9089272,"threshold_uncertainty_score":0.578608,"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."}}