{"id":"W4410247619","doi":"10.3389/fimmu.2025.1588828","title":"Bibliometric analysis and visualization of Connexin 43 in the field of solid tumor research(2000-2024)","year":2025,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre Scientifique et Technique du Bâtiment; Natural Science Foundation of Chongqing","keywords":"Library science; Metastasis; Web of science; Cancer; Cancer research; Oncology; Medicine; Internal medicine; Computer science; Meta-analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007272049,0.0008882627,0.001597886,0.1538657,0.0008877686,0.004457071,0.0007214992,0.0006009939,0.006620384],"category_scores_gemma":[0.03854739,0.000219621,0.002130127,0.2211847,0.0005173284,0.002535143,0.002014939,0.000499975,0.001141936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002900778,"about_ca_system_score_gemma":0.003973306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009051927,"about_ca_topic_score_gemma":0.009542705,"domain_scores_codex":[0.9895428,0.002063565,0.002314016,0.0008400086,0.004784616,0.0004549939],"domain_scores_gemma":[0.9707676,0.0140018,0.006717996,0.0008999991,0.006985641,0.0006268983],"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":[0.0007146657,0.0002005386,0.315086,0.04002219,0.003029771,0.001055924,0.005677387,0.006225918,0.005532809,0.01232172,0.07468951,0.5354435],"study_design_scores_gemma":[0.000127581,0.0002892678,0.7654521,0.005810909,0.002421561,0.001486018,0.006132929,0.01015879,0.003835479,0.008241538,0.1958458,0.00019806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5167669,0.1108905,0.009506832,0.004989499,0.0008442135,0.001285879,0.2856175,0.002831061,0.06726772],"genre_scores_gemma":[0.8086904,0.05204633,0.02491042,0.0002364806,0.0005607275,0.001751907,0.1050717,0.0002671531,0.006464952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8461343,"threshold_uncertainty_score":0.03845876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248609230785878,"score_gpt":0.3363791510535202,"score_spread":0.3238930587456614,"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."}}