{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002540349,0.0002221164,0.0002003502,0.0004940158,0.0002028919,0.0001004686,0.0001739616,0.0002943652,0.00001383733],"category_scores_gemma":[0.0001328239,0.0002036622,0.00009817199,0.0004376476,0.0001411462,0.00006931309,0.00006358258,0.0001453344,0.000007040936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002722649,"about_ca_system_score_gemma":0.0001723113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001318558,"about_ca_topic_score_gemma":0.000002741718,"domain_scores_codex":[0.9987919,0.00007218078,0.0002531527,0.0003091307,0.000198305,0.0003752972],"domain_scores_gemma":[0.9992716,0.00005577245,0.0001345084,0.0002772042,0.0000653793,0.0001954955],"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":[0.0005219693,0.001134896,0.04824389,0.00002543695,0.00006015534,0.00003995166,0.00003054454,0.0001124665,0.9457968,0.0001585533,0.00009459401,0.003780683],"study_design_scores_gemma":[0.000467698,0.0009146666,0.02074212,0.00004015253,0.00004842101,0.0002948868,0.00001186318,0.0000970649,0.9756233,0.000009351999,0.001468082,0.0002823745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962818,0.0001134657,0.002017707,0.00002498807,0.0002911997,0.0002450596,0.00005200594,0.00002519244,0.0009486033],"genre_scores_gemma":[0.9958005,0.00001459037,0.003397301,0.00006908947,0.0004796816,0.00004608641,0.00006610437,0.00002547884,0.0001011913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02982645,"threshold_uncertainty_score":0.8305103,"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."}}