{"id":"W2807733613","doi":"","title":"Aiming for better than \"Nobody flinched\": Notes on heterosexism in cancer care","year":2010,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Dietetics, Nutrition, and Education","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"nobody; Heterosexism; Psychology; Computer science; Psychoanalysis; Computer security","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":[0.0002369519,0.0001749436,0.0002800129,0.0002702956,0.0008892455,0.0000129383,0.0001199615,0.0001549533,0.0001143989],"category_scores_gemma":[0.0004145732,0.0001645477,0.00004309142,0.0001276936,0.00008308122,0.00007121262,0.00002205884,0.0004144884,0.00005391028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218429,"about_ca_system_score_gemma":0.0005880227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006991923,"about_ca_topic_score_gemma":0.5496367,"domain_scores_codex":[0.9984307,0.00005522064,0.0002875765,0.0002871475,0.00009612842,0.0008432665],"domain_scores_gemma":[0.9986826,0.0004545366,0.00007803062,0.0002259268,0.0002837522,0.0002751987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006361486,0.00007062581,0.3508906,0.002387228,0.0001530794,0.000006686086,0.6247869,0.000009821344,0.0004564754,0.001596626,0.01263835,0.00693991],"study_design_scores_gemma":[0.001797969,0.0002340497,0.06378316,0.0009453201,0.00003229117,3.006653e-7,0.8231887,0.00001279482,0.0002747185,0.007203848,0.1019412,0.0005856162],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872263,0.000516752,0.000001574355,0.005016666,0.005755329,0.0005829283,0.0001776738,0.0000279694,0.0006947755],"genre_scores_gemma":[0.9896421,0.0001359185,0.0001809677,0.005888911,0.001609439,0.001821527,0.00004307275,0.00003349355,0.0006446007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5426447,"threshold_uncertainty_score":0.9996206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08920362817552689,"score_gpt":0.4223485120277102,"score_spread":0.3331448838521833,"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."}}