{"id":"W4368363332","doi":"10.3410/f.739623257.793598363","title":"Faculty Opinions recommendation of Sialic acids in pancreatic cancer cells drive tumour-associated macrophage differentiation via the Siglec receptors Siglec-7 and Siglec-9.","year":2023,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"SIGLEC; Receptor; Pancreatic cancer; Macrophage; Cancer research; Cancer; Chemistry; Biology; Cell biology; Biochemistry; Genetics; In vitro","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":[0.001005617,0.001781977,0.001382387,0.002729022,0.0007300649,0.002387478,0.001834306,0.002237339,0.05018075],"category_scores_gemma":[0.007771233,0.0004603832,0.001762223,0.005136806,0.0002959103,0.001038637,0.00144285,0.001540766,0.04386731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320069,"about_ca_system_score_gemma":0.002576603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621088,"about_ca_topic_score_gemma":0.0584329,"domain_scores_codex":[0.9987004,0.0002242631,0.0001451111,0.000446228,0.0003154507,0.0001684274],"domain_scores_gemma":[0.9972121,0.001131187,0.0003706452,0.0004152778,0.0005293849,0.0003414374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003107254,0.00004870724,0.00430327,0.002673772,0.0002374944,0.00005630989,0.00003077701,0.0005073848,0.0004309817,0.0004077006,0.9852065,0.005786416],"study_design_scores_gemma":[0.0007881432,0.00006526591,0.01608439,0.001105889,0.0003456523,0.0001433242,0.0001108298,0.00100101,0.001154395,0.001280796,0.9778626,0.00005768591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003472754,0.0002897976,0.00003274163,0.0001075522,0.00002283216,0.000006245526,0.9985089,0.0001716784,0.0005129762],"genre_scores_gemma":[0.001037089,0.0002120131,0.0002045,0.00009589283,0.000007977389,0.00003892702,0.9977614,0.00004236131,0.000599882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05018075,"threshold_uncertainty_score":0.1678713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977647786457165,"score_gpt":0.3342986259954863,"score_spread":0.3145221481309147,"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."}}