{"id":"W2848618769","doi":"","title":"Authorship Identification for Literary Book Recommendations","year":2018,"lang":"en","type":"article","venue":"International Conference on Computational Linguistics","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reading (process); Recommender system; Pleasure; Computer science; Identification (biology); Style (visual arts); Factor (programming language); Writing style; Qualitative analysis; Information retrieval; World Wide Web; Natural language processing; Artificial intelligence; Qualitative research; Psychology; Linguistics; Literature; Art; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006030019,0.0001641264,0.0001249757,0.0002426731,0.0003574617,0.0004701507,0.0008780558,0.00009485103,0.0002619854],"category_scores_gemma":[0.001964726,0.0001789662,0.00008219432,0.0002090745,0.00008986887,0.0002026511,0.000107514,0.0001779205,0.0003390498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058571,"about_ca_system_score_gemma":0.0002273228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002047842,"about_ca_topic_score_gemma":0.000001750612,"domain_scores_codex":[0.9983007,0.00008636202,0.000495565,0.0004604366,0.0004383945,0.0002185884],"domain_scores_gemma":[0.9956111,0.0005019096,0.0002578781,0.0002627001,0.003248977,0.0001173839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002663959,0.00006023813,0.00005078663,0.000005083897,0.00002472739,0.000001077273,0.000363049,0.0002176466,0.00003786437,0.9802175,0.01107894,0.007916442],"study_design_scores_gemma":[0.0002079308,0.00008575285,0.000320438,0.00003551267,0.000004298512,0.000002873801,0.000008227743,0.4338768,0.0004010505,0.4337085,0.1312025,0.0001461683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001120018,0.00002277757,0.9634503,0.01126985,0.005665537,0.0002420861,0.000171358,0.0002092026,0.01885696],"genre_scores_gemma":[0.8414903,0.000007946948,0.1508397,0.002508614,0.00164881,0.00005499136,0.0006907179,0.00001347376,0.002745394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8413783,"threshold_uncertainty_score":0.7298031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127695465733507,"score_gpt":0.3943209370164236,"score_spread":0.2815513904430729,"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."}}