{"id":"W4221039763","doi":"10.18438/eblip30014","title":"Natural Language Processing for Virtual Reference Analysis","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Topic Modeling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; University of Toronto","keywords":"Computer science; Toolchain; Information retrieval; Python (programming language); Coding (social sciences); Natural language processing; World Wide Web; Artificial intelligence; Programming language; Software","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005385765,0.00008072165,0.00009745472,0.0002507891,0.0003938279,0.000574289,0.0004642906,0.00002111459,0.00005712984],"category_scores_gemma":[0.0004692643,0.00007833504,0.00003823562,0.0008823658,0.00001111481,0.186784,0.0002844371,0.000202326,0.000003701934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001338411,"about_ca_system_score_gemma":0.0001764443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004242879,"about_ca_topic_score_gemma":2.607127e-8,"domain_scores_codex":[0.9990119,0.0001368928,0.0002628735,0.0001729671,0.0002790375,0.0001363531],"domain_scores_gemma":[0.9985718,0.0008076577,0.0002614834,0.000266789,0.00004189984,0.00005039803],"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":[0.0002776106,0.00004319823,0.0002142147,0.0001179807,0.0000646894,0.000005627337,0.003210134,0.02978063,0.0001135646,0.559988,0.0007944782,0.4053899],"study_design_scores_gemma":[0.0001541546,0.00008327499,0.0004156678,0.00001556643,0.0000413916,0.000008598503,0.001051852,0.8999271,0.0001835364,0.00004967806,0.09795557,0.0001136452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00295586,0.00120416,0.967467,0.02698911,0.0001419623,0.0002140495,0.00001017992,0.0002002824,0.0008174627],"genre_scores_gemma":[0.8853995,0.00003054846,0.08312026,0.03113204,0.000026701,0.00007031191,0.00004998455,0.000002902702,0.000167797],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8843467,"threshold_uncertainty_score":0.82459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775341483750267,"score_gpt":0.2730977960005114,"score_spread":0.2553443811630088,"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."}}