{"id":"W3193458124","doi":"10.1007/s42979-021-00807-1","title":"Specialists, Scientists, and Sentiments: Word2Vec and Doc2Vec in Analysis of Scientific and Medical Texts","year":2021,"lang":"en","type":"article","venue":"SN Computer Science","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"","keywords":"Word2vec; Computer science; Sentiment analysis; Word embedding; Data mining; Artificial intelligence; Information retrieval; Embedding","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001275329,0.0006469582,0.0003683065,0.001815146,0.0003498956,0.001203183,0.0002368524,0.0003862047,0.0008603455],"category_scores_gemma":[0.003467112,0.0001521997,0.0005229152,0.002404422,0.0002599583,0.001303117,0.000736595,0.0008633931,0.0005642166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004381876,"about_ca_system_score_gemma":0.001351016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007379763,"about_ca_topic_score_gemma":0.01522069,"domain_scores_codex":[0.9989775,0.0004477567,0.0001272285,0.0001401836,0.0002157861,0.0000915745],"domain_scores_gemma":[0.998405,0.0007784719,0.0001432344,0.00009845095,0.0004697388,0.0001050759],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001522222,0.0009724369,0.09126581,0.001525575,0.0009677188,0.0006553276,0.002636672,0.01591986,0.03391117,0.00876048,0.1207965,0.7210661],"study_design_scores_gemma":[0.0002233815,0.0004689773,0.149405,0.0005010358,0.0007785835,0.0008186087,0.002937186,0.7155831,0.02105664,0.01892241,0.0891439,0.000161259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919427,0.006883529,0.1516311,0.004188064,0.001245946,0.0003521183,0.03108687,0.005365575,0.007303939],"genre_scores_gemma":[0.8027482,0.001937911,0.140341,0.0005363168,0.0004445474,0.0003627804,0.04906484,0.0004706568,0.004093712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9987247,"threshold_uncertainty_score":0.01467365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315382966407733,"score_gpt":0.2771378444782079,"score_spread":0.2639840148141306,"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."}}