{"id":"W2768599996","doi":"10.1177/1077800417735628","title":"We Exist: Combating Erasure Through Creative Analytic Comix about Bisexuality","year":2017,"lang":"en","type":"article","venue":"Qualitative Inquiry","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Erasure; Transgender; Sociology; Lesbian; Gender studies; Inclusion (mineral); Face (sociological concept); Visibility; Social psychology; Psychology; Computer science; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002514467,0.0004297358,0.0007811344,0.0001436054,0.001767441,0.0002855182,0.0008916909,0.0003258773,0.001288342],"category_scores_gemma":[0.001637982,0.0004078287,0.0002268679,0.0002092833,0.001923729,0.0006621002,0.0001996407,0.0006725893,0.001768087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036245,"about_ca_system_score_gemma":0.0001796673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124349,"about_ca_topic_score_gemma":0.000870534,"domain_scores_codex":[0.9940523,0.00292544,0.0009067317,0.0007960929,0.0004824963,0.0008369721],"domain_scores_gemma":[0.9951025,0.001559727,0.001091783,0.001642264,0.0003532545,0.000250468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001733255,0.0003764555,0.03163425,0.0005896969,0.0003987153,0.00004146172,0.6720552,0.000001400172,0.00003695878,0.2223278,0.06901015,0.003354577],"study_design_scores_gemma":[0.003610912,0.0006942947,0.5540166,0.000213144,0.0002749928,0.00001775757,0.2154503,0.0000180932,0.00003536025,0.2075109,0.01701646,0.001141137],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6419068,0.001900421,0.001466768,0.009216417,0.003356082,0.000614619,0.0002776576,0.0001716469,0.3410896],"genre_scores_gemma":[0.957966,0.0002314092,0.0008130166,0.001618657,0.001677641,0.0001056988,0.00005940268,0.00006807656,0.03746004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5223824,"threshold_uncertainty_score":0.9998373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4078022914703029,"score_gpt":0.5839585818629952,"score_spread":0.1761562903926923,"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."}}