{"id":"W2914640693","doi":"10.1016/j.cca.2019.02.015","title":"Long interspersed nuclear element-1 mobilization as a target in cancer diagnostics, prognostics and therapeutics","year":2019,"lang":"en","type":"review","venue":"Clinica Chimica Acta","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Context (archaeology); Cancer; Carcinogenesis; Genome instability; Disease; Cancer biomarkers; Bioinformatics; Computational biology; Biology; Medicine; Cancer research; Pathology; Internal medicine; DNA damage; Genetics; DNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001826077,0.0003116167,0.0008117321,0.00002786767,0.00008570203,0.00009334077,0.0003544823,0.0003605568,0.0007706209],"category_scores_gemma":[0.0002980949,0.0001325077,0.0002105485,0.0003006709,0.00008251256,0.00005213228,0.0002025341,0.0003514602,0.00006186868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005965628,"about_ca_system_score_gemma":0.0000744936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004075597,"about_ca_topic_score_gemma":0.0003596011,"domain_scores_codex":[0.9981586,0.0001587844,0.0006944922,0.0005463953,0.0001551078,0.0002866102],"domain_scores_gemma":[0.998432,0.0009293098,0.0003568118,0.0001291428,0.00005926443,0.0000934171],"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":[0.00001959402,0.0007313395,0.004503702,0.001440123,0.0002208356,0.0000054968,0.0003237718,9.099655e-7,0.0001361598,0.0001739787,0.0005637932,0.9918803],"study_design_scores_gemma":[0.0001720484,0.0002754707,0.0025878,0.002308849,0.0003762491,0.000004901004,0.0000805857,0.00009974094,0.000001151865,0.0001113484,0.9936448,0.0003370375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01890779,0.9761239,2.774593e-7,0.001653845,0.0005625547,0.00199155,0.0003932778,0.00006096396,0.0003058004],"genre_scores_gemma":[0.00582256,0.9928262,0.00006840865,0.0003587038,0.0003060922,0.00007531874,0.0004099389,0.000006937969,0.0001258077],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.993081,"threshold_uncertainty_score":0.8437758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0831467885002259,"score_gpt":0.3513117922487536,"score_spread":0.2681650037485278,"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."}}