{"id":"W2793696734","doi":"10.3390/cancers10030073","title":"Coming of Age for Autotaxin and Lysophosphatidate Signaling: Clinical Applications for Preventing, Detecting and Targeting Tumor-Promoting Inflammation","year":2018,"lang":"en","type":"review","venue":"Cancers","topic":"Sphingolipid Metabolism and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Memorial University of Newfoundland","funders":"Canadian Cancer Society Research Institute; Women and Children's Health Research Institute; University of Alberta; Cancer Research Institute","keywords":"Autotaxin; Inflammation; Tumor microenvironment; Cancer; Lipid signaling; Cancer research; Immune system; Medicine; Signal transduction; Cell signaling; Metastasis; Cancer cell; Biology; Bioinformatics; Immunology; Receptor; Internal medicine; Lysophosphatidic acid; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001607858,0.000252352,0.0008008087,0.00005847394,0.0002142441,0.00004873309,0.0001537214,0.0002332358,0.000001177699],"category_scores_gemma":[0.0008227798,0.0002481961,0.0002655514,0.00008171584,0.0001247498,0.000008153269,0.000107712,0.0001178472,1.447685e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003745075,"about_ca_system_score_gemma":0.0003101178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001053761,"about_ca_topic_score_gemma":0.000005022205,"domain_scores_codex":[0.9981157,0.00008419825,0.0009221894,0.000550253,0.00007035652,0.0002572759],"domain_scores_gemma":[0.998229,0.0002480752,0.001096605,0.0002008833,0.0001435023,0.00008192535],"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":[0.0000398474,0.000006936401,0.00006062503,0.02551209,0.0003169516,3.83929e-7,0.0001867085,0.00002330185,0.01662244,0.00009379372,0.00009644916,0.9570405],"study_design_scores_gemma":[0.0007800043,0.0001720531,0.00000254821,0.003473178,0.0008273609,0.000006462169,0.00009400906,0.0009184666,0.01885497,0.0001495824,0.9742837,0.0004376596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01772423,0.9612103,0.01865796,0.000002948652,0.000207764,0.002095231,0.00007420764,0.00001497078,0.00001241231],"genre_scores_gemma":[0.005936825,0.9578761,0.03104596,0.00002911456,0.003141981,0.00134182,0.0004618798,0.0001136689,0.00005260481],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9741873,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152206016828353,"score_gpt":0.3575942358751218,"score_spread":0.3160721757068383,"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."}}