{"id":"W2945654368","doi":"10.22148/16.038","title":"Towards A Queer Futurity of Data","year":2019,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Manifesto; Queer; Sociology; Public relations; Focus (optics); Gender studies; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003117963,0.00006852068,0.0003016645,0.00004807343,0.00006575228,0.00003869478,0.0005772996,0.00005944255,0.000230353],"category_scores_gemma":[0.000622872,0.00004162372,0.0001365459,0.0002669188,0.0001351012,0.0006505598,0.00006909769,0.0001896048,0.00001012879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004903481,"about_ca_system_score_gemma":0.0001713235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003916711,"about_ca_topic_score_gemma":0.000162289,"domain_scores_codex":[0.9983984,0.0003735006,0.0004227604,0.00008491232,0.0005790156,0.0001414333],"domain_scores_gemma":[0.9984264,0.0001446832,0.0004839354,0.0001803437,0.0006673039,0.00009736091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000348685,0.0005103324,0.0300278,0.0002535991,0.001121982,0.0000421189,0.1711079,0.0002162373,0.006269716,0.6219,0.05124824,0.1169534],"study_design_scores_gemma":[0.001091107,0.0005507858,0.01616928,0.000169296,0.0002958507,0.00001839657,0.09741191,0.0008332473,0.0008484924,0.01874681,0.8634955,0.0003693725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403057,0.001261214,0.003241116,0.007278845,0.001052393,0.0001322171,0.00004466343,0.000009419452,0.0466745],"genre_scores_gemma":[0.9691172,0.000348213,0.02684624,0.0001094726,0.000569104,7.847233e-8,0.000002616455,0.000004332473,0.003002751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8122472,"threshold_uncertainty_score":0.2522204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2116111665954851,"score_gpt":0.4808115851240812,"score_spread":0.2692004185285961,"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."}}