{"id":"W1974572597","doi":"10.1371/journal.pone.0043721","title":"Suppression of Cancer Progression by MGAT1 shRNA Knockdown","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Waterloo; Occupational Cancer Research Centre; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Princess Margaret Cancer Centre; SickKids Foundation; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; Leukemia and Lymphoma Society","keywords":"Gene knockdown; HeLa; Biology; Cancer research; Small hairpin RNA; Cell biology; Vimentin; Cell growth; Cell; Cell culture; Chemistry; Biochemistry; Immunology","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":[0.00009463121,0.0004212284,0.000315359,0.0003730379,0.0002428153,0.0003221424,0.0002215854,0.0002569334,0.002042261],"category_scores_gemma":[0.00007698142,0.0001573798,0.0002949012,0.0002688591,0.0002664461,0.0001629139,0.0002054874,0.0006577674,0.0004050466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005190916,"about_ca_system_score_gemma":0.000373479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002894405,"about_ca_topic_score_gemma":0.005020047,"domain_scores_codex":[0.9998677,0.00001005956,0.00001421049,0.00003591944,0.00003665924,0.00003545025],"domain_scores_gemma":[0.9999372,0.00001076452,0.00001623906,0.00001001744,0.000007546909,0.00001831245],"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":[0.00006147333,0.00004222044,0.0002298297,0.00003726932,0.000007685723,0.00004066027,0.0000189097,0.0001352451,0.9970242,0.0002039523,0.0001552093,0.002043242],"study_design_scores_gemma":[0.00001264699,0.0001438991,0.002790052,0.000003818684,0.00001433482,0.00008356286,0.00001288542,0.001834218,0.9920839,0.00004473288,0.002973026,0.000002963072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878614,0.001704654,0.004598534,0.000206002,0.00007477276,0.00008379153,0.001626957,0.0004532808,0.003390575],"genre_scores_gemma":[0.9880409,0.001154273,0.003824269,0.0000642942,0.00001182463,0.00008548528,0.001374475,0.00005663725,0.005388043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002894405,"threshold_uncertainty_score":0.006832063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166466308768869,"score_gpt":0.3144473488045536,"score_spread":0.2827826857168649,"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."}}