{"id":"W2790520866","doi":"10.20944/preprints201803.0076.v1","title":"Conflicting Roles of Connexin43 in Tumor-Induced Inflammation and Cancer Pathology","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Microglia; Tumor microenvironment; Gap junction; Paracrine signalling; Cancer cell; Glioma; Biology; Neuroscience; Tumor progression; Carbenoxolone; Cell biology; Connexin; Cancer; Astrocyte; Brain tumor; Inflammation; Metastasis; Cancer research; Intracellular; Pathology; Immunology; Tumor cells; Medicine; Central nervous system; Receptor","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":[0.0006578332,0.0002626271,0.0004284444,0.0001246492,0.00003694993,0.000006369386,0.0002757923,0.0005372282,0.0001527516],"category_scores_gemma":[0.0003629931,0.0002738309,0.00008609937,0.00005123882,0.0002009498,0.000003193448,0.001402018,0.000345771,0.00001747285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002542421,"about_ca_system_score_gemma":0.000164584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003676408,"about_ca_topic_score_gemma":0.0008112658,"domain_scores_codex":[0.9980873,0.000223722,0.000529043,0.0008118834,0.0000799571,0.0002681096],"domain_scores_gemma":[0.9986535,0.00003228588,0.0004185437,0.0006551379,0.0001799884,0.00006050029],"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":[0.00009131958,0.00001929969,0.3685904,0.00007974017,0.00004460372,0.000005505168,0.0003188147,0.00002814113,0.6290544,0.00006633965,0.000003403067,0.001697973],"study_design_scores_gemma":[0.0004968244,0.00007158155,0.2761205,0.0001135359,0.00002438839,0.00001761739,0.0001143665,0.00008321231,0.7192743,0.0002843407,0.003133425,0.0002658817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972664,0.0006028516,0.00002147944,0.0001784205,0.0002792587,0.0003735359,0.00003285811,0.00001487835,0.001230311],"genre_scores_gemma":[0.9985832,0.0006033236,0.00005997379,0.00008907445,0.0003477958,0.0001172936,0.00008473772,0.00002543174,0.00008917374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09246996,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06299214254282813,"score_gpt":0.3560777771267157,"score_spread":0.2930856345838876,"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."}}