{"id":"W310333832","doi":"10.1007/978-1-4939-7131-2_352","title":"Automatic Document Topic Identification Using Social Knowledge Network","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Identification (biology); Computer science; Social knowledge; Information retrieval; Social network (sociolinguistics); Data science; World Wide Web; Social media; Sociology; Social science; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003174245,0.0002941963,0.0003866611,0.000180002,0.0002658812,0.0002437307,0.001022284,0.0002503825,0.0008488635],"category_scores_gemma":[0.000007325107,0.0002871446,0.000213085,0.0001201492,0.00009080297,0.0004177402,0.0005226526,0.0001772651,0.0005154217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003231459,"about_ca_system_score_gemma":0.00008773226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004306441,"about_ca_topic_score_gemma":0.00002581596,"domain_scores_codex":[0.9982617,0.0000302901,0.0005476201,0.0005813343,0.0003087809,0.0002701968],"domain_scores_gemma":[0.9984625,0.00004047111,0.0004368805,0.0008030749,0.0002040945,0.00005295256],"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":[3.335888e-7,0.000009658986,0.000001317221,0.0000277248,0.000077866,0.000002849476,0.0003208623,0.000005172168,0.00003682296,0.8865287,0.01194896,0.1010397],"study_design_scores_gemma":[0.00006155557,0.00002328315,0.00002128313,0.0001061563,0.00009008842,0.000004654137,0.000002370747,0.04744936,0.0002234282,0.8666419,0.08491192,0.0004640451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00003020325,0.0001974593,0.7919852,0.00007256093,0.0003351077,0.0002215286,4.380551e-7,0.0007190758,0.2064385],"genre_scores_gemma":[0.004515141,0.00003750515,0.3164933,0.0001506384,0.001621376,0.0000202701,0.00001488536,0.00005290327,0.677094],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4754919,"threshold_uncertainty_score":0.9999581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248065181316784,"score_gpt":0.3217753683594284,"score_spread":0.2892947165462606,"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."}}