{"id":"W2276365189","doi":"10.1017/s0047404501004031","title":"Terminology and gender sensitivity: A corpus-based study of the LSP of infertility","year":2001,"lang":"en","type":"article","venue":"Language in Society","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Terminology; Subject (documents); Context (archaeology); Term (time); Field (mathematics); Infertility; Linguistics; Computer science; Psychology; History; Library science; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.007698342,0.0003281582,0.0006400254,0.01042835,0.003975586,0.003193372,0.0009048846,0.0009385975,0.003319644],"category_scores_gemma":[0.04713348,0.0003041809,0.0002788696,0.0175574,0.006618443,0.004095541,0.004533436,0.001798435,0.0003659301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002850076,"about_ca_system_score_gemma":0.002872565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009085729,"about_ca_topic_score_gemma":0.01495719,"domain_scores_codex":[0.9921645,0.004876819,0.0009310344,0.0005910096,0.001260338,0.0001762679],"domain_scores_gemma":[0.9365993,0.05277761,0.004023749,0.002075954,0.004095156,0.0004281258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001399621,0.00005615955,0.02150941,0.003162249,0.00003747925,0.00164681,0.8312972,0.0002849315,0.004795008,0.03906502,0.01414337,0.08386245],"study_design_scores_gemma":[0.00005174491,0.0001238112,0.1424938,0.003629872,0.0001304564,0.004965269,0.4401828,0.001593604,0.003542722,0.0122017,0.3909166,0.0001675535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016656,0.01580168,0.01387746,0.006592131,0.0006554918,0.0005273556,0.005513053,0.0001353599,0.05523189],"genre_scores_gemma":[0.975895,0.005762686,0.01082774,0.0005530113,0.0001818209,0.0006665196,0.002843268,0.0001890016,0.003081074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01042835,"threshold_uncertainty_score":0.04071319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243554303654315,"score_gpt":0.3393675254916765,"score_spread":0.2969319824551333,"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."}}