{"id":"W2402045463","doi":"","title":"On α - Incidence Energy and α - Distance Energy of a Graph.","year":2015,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Graph theory and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Energy (signal processing); Incidence (geometry); Graph; Combinatorics; Statistics; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009154075,0.0005575569,0.000657399,0.003128603,0.00124642,0.001759702,0.001368224,0.001389229,0.0100859],"category_scores_gemma":[0.00493018,0.0003112926,0.0005085912,0.002009154,0.002944267,0.005123909,0.002048817,0.002405866,0.001392483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110317,"about_ca_system_score_gemma":0.0002795748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006554258,"about_ca_topic_score_gemma":0.0006380979,"domain_scores_codex":[0.9993709,0.0001803042,0.00002960141,0.0001208192,0.0001895785,0.0001089366],"domain_scores_gemma":[0.9969674,0.001741663,0.0003063971,0.0002961097,0.0003139483,0.0003744286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001703463,0.00001691188,0.0005480305,0.00004554715,0.000008926023,0.00004465012,0.0001102806,0.001936807,0.0004863239,0.98852,0.001998463,0.006266945],"study_design_scores_gemma":[0.000003355844,0.000009231929,0.0005374108,0.00002338989,0.000005253827,0.0001206025,0.0001115143,0.007860008,0.0001947629,0.9888659,0.002260293,0.000008359305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4727751,0.008098408,0.2467805,0.007012655,0.001085274,0.00006320488,0.0009561463,0.0002261342,0.2630027],"genre_scores_gemma":[0.9424742,0.002768811,0.02328145,0.001000732,0.0008162226,0.000109726,0.0004896362,0.0001946699,0.02886455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0100859,"threshold_uncertainty_score":0.03374076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02249283914870963,"score_gpt":0.2670354058054746,"score_spread":0.244542566656765,"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."}}