{"id":"W3090192635","doi":"","title":"WELL-DEFINED GLYCOPOLYMER ARCHITECTURES AND GLYCONANOPARTICLES FOR BIOMOLECULAR INTERACTIONS","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Glycopolymer; Computer science; Nanotechnology; Materials science; Polymer","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":[0.0003927684,0.0005284948,0.0002474033,0.0001509724,0.0002161616,0.000729788,0.0002876735,0.0005220275,0.001446521],"category_scores_gemma":[0.000340847,0.0002015596,0.0002013268,0.0001182365,0.000333499,0.0005099227,0.0004455113,0.0007556094,0.0005897566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003550187,"about_ca_system_score_gemma":0.0001652191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160304,"about_ca_topic_score_gemma":0.0002208568,"domain_scores_codex":[0.999854,0.00003733602,0.000007503932,0.00003407,0.00003432765,0.00003272863],"domain_scores_gemma":[0.9998183,0.00004931413,0.00003598477,0.00002502553,0.00003220489,0.00003924664],"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":[0.0001394385,0.00005067819,0.0001295956,0.0001087938,0.00001301558,0.000132231,0.00005524946,0.002261773,0.9738027,0.01756642,0.0005485991,0.005191513],"study_design_scores_gemma":[0.00007677879,0.0005345879,0.000635123,0.00002374715,0.00002628139,0.0002487199,0.00006595683,0.01587933,0.9586419,0.009454333,0.01437843,0.0000348223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126765,0.003530034,0.06594724,0.0006097913,0.0003930254,0.0001319092,0.0001789959,0.0002313487,0.01630117],"genre_scores_gemma":[0.9678648,0.001491495,0.02481078,0.000244404,0.00003370069,0.0000908228,0.0001405425,0.00006665353,0.005256834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001446521,"threshold_uncertainty_score":0.004839063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167294214849754,"score_gpt":0.2616493447180192,"score_spread":0.2449199232330438,"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."}}