{"id":"W1611112988","doi":"10.1039/9781849739993","title":"Carbohydrates in Drug Design and Discovery","year":2015,"lang":"en","type":"book","venue":"","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Glycobiology; Drug discovery; Data science; Perspective (graphical); Engineering ethics; Computer science; Engineering; Chemistry; Biology; Bioinformatics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007436614,0.0008974612,0.0007864941,0.001222799,0.0006454305,0.003854827,0.0009157952,0.001286716,0.01567307],"category_scores_gemma":[0.001076431,0.0004102628,0.0004343298,0.001676764,0.001412791,0.002707382,0.001567351,0.002959216,0.01110922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887108,"about_ca_system_score_gemma":0.001521373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009644888,"about_ca_topic_score_gemma":0.001864845,"domain_scores_codex":[0.9994166,0.0001076925,0.00002265276,0.00007198691,0.0003441953,0.00003689123],"domain_scores_gemma":[0.9997944,0.00009089367,0.00001781912,0.00001907842,0.00004528415,0.00003247194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004575985,0.00005339308,0.00008564735,0.001214551,0.00003372798,0.0001329293,0.0002924719,0.001744513,0.002937887,0.2139449,0.3085779,0.4709363],"study_design_scores_gemma":[0.000005056083,0.00001201416,0.00002975893,0.000190138,0.000003635545,0.00007378328,0.0000245022,0.0001555407,0.0003070149,0.02150865,0.9776843,0.000005732189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001364823,0.6439198,0.01809273,0.01745298,0.009635037,0.0001539815,0.0004053488,0.0004783086,0.308497],"genre_scores_gemma":[0.01305661,0.5480216,0.03338636,0.009899686,0.003621113,0.0002434707,0.0006742955,0.0002436316,0.3908533],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01567307,"threshold_uncertainty_score":0.05243164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817374716965225,"score_gpt":0.2650133928378593,"score_spread":0.246839645668207,"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."}}