{"id":"W7115001468","doi":"10.1007/s13278-025-01514-y","title":"An LLM-guided framework for link prediction in homogeneous graphs","year":2025,"lang":"en","type":"article","venue":"Social Network Analysis and Mining","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University; Ontario Forest Research Institute; University of Windsor","funders":"","keywords":"Homogeneous; Intersection (aeronautics); Graph; Link (geometry); Social network (sociolinguistics); Similarity (geometry); Social network analysis","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":[0.001662464,0.001252725,0.001313419,0.00340286,0.0007708131,0.001309746,0.003122399,0.002011801,0.003581165],"category_scores_gemma":[0.007082982,0.0006205258,0.001209824,0.002366866,0.0008821658,0.00312519,0.00167834,0.002259779,0.001549018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693666,"about_ca_system_score_gemma":0.001377594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0150557,"about_ca_topic_score_gemma":0.02797514,"domain_scores_codex":[0.9991447,0.0002746758,0.00003935534,0.0003022598,0.0001411715,0.00009786967],"domain_scores_gemma":[0.9972553,0.001703487,0.0002393267,0.0003031661,0.0003468276,0.0001519667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002060117,0.0002660691,0.004097539,0.0001622937,0.000113438,0.0002453775,0.0001347865,0.8111209,0.001958288,0.01525267,0.009437168,0.1570055],"study_design_scores_gemma":[0.000003554747,0.000005754773,0.00005302342,0.000004736642,0.000003831645,0.00000532297,0.000005257044,0.9933515,0.000137985,0.006199935,0.0002271625,0.000002064385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04765195,0.001064937,0.9404697,0.000969101,0.0001056918,0.0001182645,0.001208283,0.006225623,0.002186436],"genre_scores_gemma":[0.7227157,0.0004988873,0.2640197,0.0008526304,0.0002323717,0.0002868743,0.003923993,0.0005949448,0.006874843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0150557,"threshold_uncertainty_score":0.02993613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413249501823728,"score_gpt":0.2995543116862708,"score_spread":0.2854218166680336,"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."}}