{"id":"W4403433060","doi":"10.1002/pra2.1100","title":"Queer Data","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Queer; Computer science; Psychology; Psychoanalysis","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":[0.0118015,0.000427422,0.0007222993,0.007196536,0.006081677,0.01017206,0.002470698,0.001860608,0.2793492],"category_scores_gemma":[0.0450184,0.0004230659,0.0006285626,0.01404564,0.00248248,0.008122396,0.004876278,0.003557742,0.05383109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008024935,"about_ca_system_score_gemma":0.01438782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08772883,"about_ca_topic_score_gemma":0.1073983,"domain_scores_codex":[0.9905591,0.002577633,0.0007455481,0.001308508,0.00395385,0.0008553888],"domain_scores_gemma":[0.9640173,0.01461672,0.001650034,0.006790896,0.01099166,0.0019334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004820033,0.00001396447,0.001857381,0.000194372,0.00001205823,0.0001233241,0.002325238,0.0001526591,0.0001782341,0.270526,0.6606112,0.06395753],"study_design_scores_gemma":[0.000003774979,0.000003108852,0.0006001788,0.0001275577,0.00000363757,0.00003409894,0.0006326611,0.00006087426,0.0001131559,0.006926735,0.9914823,0.00001191171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003183708,0.002403842,0.01320207,0.0478186,0.002001015,0.0004337899,0.1013489,0.001781969,0.8278261],"genre_scores_gemma":[0.08794597,0.007117929,0.01895413,0.02210415,0.001680643,0.0008845257,0.1061365,0.002522179,0.7526541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2793492,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305365732261792,"score_gpt":0.3596980721859883,"score_spread":0.3291614989598091,"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."}}