{"id":"W3110879416","doi":"","title":"An Ontological Representation of Sex and Gender Information","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Focus (optics); Representation (politics); Information retrieval; Natural language processing; Data science; Politics; Political science","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":[0.001983436,0.0006415955,0.0006626465,0.00462456,0.002631284,0.004492038,0.001683054,0.001551077,0.008865428],"category_scores_gemma":[0.00462292,0.0006291778,0.001725694,0.005026911,0.002017047,0.0109111,0.002874999,0.00225562,0.001955124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002578362,"about_ca_system_score_gemma":0.00250604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01902141,"about_ca_topic_score_gemma":0.02019139,"domain_scores_codex":[0.9983315,0.0003899767,0.0001931169,0.0004396756,0.0004517303,0.0001939898],"domain_scores_gemma":[0.9978897,0.0006211064,0.0001437413,0.0005245363,0.000628995,0.000191884],"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":[0.00008061308,0.00004890032,0.002063839,0.0001937144,0.00003097935,0.0003449486,0.002566142,0.001516885,0.002307546,0.927889,0.01112429,0.05183301],"study_design_scores_gemma":[0.00002042632,0.00002807417,0.002564796,0.0003233452,0.0001696896,0.0006348409,0.002691183,0.02204407,0.003168957,0.6449291,0.323357,0.0000684652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03918086,0.001289233,0.8480421,0.006930064,0.0008662249,0.0002737072,0.01478548,0.00203248,0.08659989],"genre_scores_gemma":[0.5184518,0.002167643,0.4295583,0.001352019,0.0006176876,0.0003570527,0.01997444,0.000858621,0.02666247],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01902141,"threshold_uncertainty_score":0.03782141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899322082739484,"score_gpt":0.2832517562046626,"score_spread":0.2542585353772677,"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."}}