{"id":"W2150040417","doi":"","title":"De novo DESIGN AND SYNTHESIS OF AN ICE-BINDING, DENDRIMERIC, POLYPEPTIDE BASED ON INSECT ANTIFREEZE PROTEINS","year":2012,"lang":"en","type":"article","venue":"Repositorio Institucional UN - Biblioteca Digital","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Antifreeze protein; Chemistry; Antifreeze; Monomer; Ice crystals; Stereochemistry; Macromolecule; Crystallography; Dendrimer; Biochemistry; Biophysics; Biology; Organic chemistry; Polymer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001065381,0.0002663867,0.0001826144,0.0001399563,0.0001336809,0.0002435615,0.0002228299,0.0002340249,0.0005450563],"category_scores_gemma":[0.00009505936,0.0001474755,0.0002244865,0.0001354097,0.0001359714,0.0002515859,0.0001706344,0.0004673267,0.0003483875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342477,"about_ca_system_score_gemma":0.0002589666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003580159,"about_ca_topic_score_gemma":0.0005653775,"domain_scores_codex":[0.9999471,0.000004200513,0.000005724008,0.00001208487,0.00001715313,0.00001370878],"domain_scores_gemma":[0.9999266,0.000007556681,0.00002340945,0.000007726268,0.0000150129,0.00001979923],"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":[0.0000189258,0.00001879715,0.00006427305,0.0000432888,0.000004181807,0.00004748219,0.00001360934,0.0004269423,0.9966948,0.0002206212,0.00002740432,0.00241972],"study_design_scores_gemma":[0.00002027644,0.0002980127,0.0007904651,0.000006725575,0.00001660828,0.0001606697,0.00001453477,0.001369592,0.9897197,0.00007974645,0.007517085,0.000006552739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464478,0.001311424,0.04777439,0.0001475922,0.00007777339,0.0002428483,0.0004038972,0.0001312459,0.003463153],"genre_scores_gemma":[0.925669,0.002117565,0.06399568,0.0001085025,0.00002456636,0.0001539596,0.001103027,0.00007584572,0.006751779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005450563,"threshold_uncertainty_score":0.002484858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630901909212181,"score_gpt":0.243458961064942,"score_spread":0.2271499419728202,"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."}}