{"id":"W2477122767","doi":"10.1109/bracis.2016.071","title":"Authorship Attribution via Network Motifs Identification","year":2016,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Automatic summarization; Authorship attribution; Identification (biology); Attribution; Function (biology); Style (visual arts); Motif (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001548047,0.0001153677,0.0001069625,0.00005851124,0.0002235559,0.0001210503,0.0005714762,0.0001198017,0.0001596928],"category_scores_gemma":[0.00009990504,0.00007810001,0.00006615363,0.0005110457,0.00003542051,0.0006901561,0.0001399409,0.00008957429,0.001479676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008877501,"about_ca_system_score_gemma":0.00003652843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006225145,"about_ca_topic_score_gemma":0.000003997432,"domain_scores_codex":[0.9984654,0.0001960925,0.0003092603,0.000386544,0.0002582553,0.0003844425],"domain_scores_gemma":[0.9989249,0.0001276148,0.0001217713,0.0005409293,0.0001411692,0.0001435773],"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":[0.00000489629,0.00001886031,0.004454706,0.00000392221,0.000008171126,0.000001814633,0.00007872627,0.00004327461,0.008719998,0.8699288,0.003226273,0.1135106],"study_design_scores_gemma":[0.001054057,0.0001306385,0.1637861,0.000111375,0.00002312114,0.0000541876,0.00001150371,0.08385091,0.1385277,0.5392227,0.0721429,0.001084772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003320759,0.00004931428,0.9862412,0.008006854,0.000959632,0.0001310587,0.000002046369,0.0005211609,0.0007680108],"genre_scores_gemma":[0.9773546,0.000007061599,0.01670917,0.0002462583,0.0002161017,0.00001415964,0.000007382878,0.000006348837,0.005438905],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9740338,"threshold_uncertainty_score":0.9992978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819452153527435,"score_gpt":0.2619039526048588,"score_spread":0.2337094310695844,"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."}}