{"id":"W2572520128","doi":"","title":"A note on hyper-Wiener index.","year":2016,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Algebraic and Geometric Analysis","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Index (typography); Wiener index; Statistics; Combinatorics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000290402,0.0001663527,0.0002718875,0.0002468055,0.00008958196,0.00001774969,0.0002465678,0.0001205701,0.0004718643],"category_scores_gemma":[0.0009094336,0.0001025643,0.000137418,0.0006939211,0.00006004795,0.00009453014,0.00007112617,0.0001050122,0.0007702118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000904841,"about_ca_system_score_gemma":0.00003541195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001361215,"about_ca_topic_score_gemma":0.000003407367,"domain_scores_codex":[0.9987533,0.00005064029,0.0002418285,0.0002735727,0.000390096,0.0002905309],"domain_scores_gemma":[0.9983454,0.0008273167,0.0001101263,0.0005175633,0.00008836749,0.0001112369],"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":[0.00001745428,0.0001626572,0.004337553,0.000006750685,0.00005869097,0.000007253683,0.0001011824,2.609848e-7,0.00007036241,0.9698216,0.01361937,0.01179687],"study_design_scores_gemma":[0.0009677168,0.00009850441,0.001808539,0.00003388148,0.00005039574,0.000002398723,0.00002648528,0.00002282501,0.0006172253,0.9889576,0.00721966,0.0001947428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774559,0.00004334241,0.002236838,0.001216007,0.0007379378,0.0001205286,0.000004423142,0.0001466314,0.01803838],"genre_scores_gemma":[0.9918767,0.00001801721,0.00028537,0.00022868,0.00002106568,0.00001050531,8.901849e-7,0.00002722414,0.007531582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01913603,"threshold_uncertainty_score":0.9899772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155060362487985,"score_gpt":0.2760899124293159,"score_spread":0.254539308804436,"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."}}