{"id":"W4327734790","doi":"10.3389/fmolb.2023.1097694","title":"Clinical implications of lncRNA LINC-PINT in cancer","year":2023,"lang":"en","type":"article","venue":"Frontiers in Molecular Biosciences","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"National Key Research and Development Program of China; Zhengzhou University","keywords":"Suppressor; Cancer; Long non-coding RNA; Biomarker; Immune system; Cancer research; Biology; Bioinformatics; Computational biology; RNA; Gene; Immunology; Genetics","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":[0.0008092152,0.0001950096,0.0003146101,0.0004008584,0.0003705056,0.0008271568,0.0002321417,0.0005001244,0.003283517],"category_scores_gemma":[0.003010474,0.0000740158,0.0002231688,0.0007778021,0.000647393,0.0005516328,0.0002702853,0.0007032329,0.0006416821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698435,"about_ca_system_score_gemma":0.000719984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006438218,"about_ca_topic_score_gemma":0.0009073819,"domain_scores_codex":[0.9996878,0.0000911416,0.00002460951,0.00007898736,0.0000810331,0.00003633746],"domain_scores_gemma":[0.9990694,0.0003628027,0.0002009283,0.0000523999,0.0001803011,0.0001342142],"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":[0.00301287,0.000269788,0.338054,0.001365395,0.0001854305,0.01565612,0.000294749,0.0009524036,0.03676574,0.008959005,0.01441859,0.580066],"study_design_scores_gemma":[0.0004256443,0.003183938,0.5575449,0.001376335,0.001112178,0.07895401,0.001449855,0.007331368,0.03770446,0.04126518,0.2694908,0.0001613408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.43975,0.441885,0.01005092,0.03341101,0.001712829,0.0002434227,0.001600378,0.0004568395,0.07088961],"genre_scores_gemma":[0.9545406,0.03424398,0.002843006,0.003125643,0.001620891,0.00005563247,0.0005357349,0.00003232972,0.003002179],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003283517,"threshold_uncertainty_score":0.01098448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617953747759493,"score_gpt":0.3786520750833978,"score_spread":0.3524725376058028,"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."}}