{"id":"W4302024786","doi":"10.1016/j.clon.2022.09.052","title":"Another Brick in the Wall … no More! Breaking the Sex Bias","year":2022,"lang":"en","type":"letter","venue":"Clinical Oncology","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institutes of Health","keywords":"Brick; Medicine; Engineering; Civil engineering","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":[0.008986834,0.0006441996,0.001345915,0.0006867566,0.01324096,0.007538097,0.001764392,0.05861157,0.01398674],"category_scores_gemma":[0.03447275,0.0008783203,0.001195889,0.0005604717,0.01026828,0.0111299,0.004371631,0.07073925,0.004639723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005424756,"about_ca_system_score_gemma":0.00998513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01795542,"about_ca_topic_score_gemma":0.03954857,"domain_scores_codex":[0.9930889,0.003224958,0.0004277009,0.0006310454,0.001582851,0.001044566],"domain_scores_gemma":[0.9819418,0.01090276,0.0009409704,0.0005015049,0.001817905,0.003894984],"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":[0.00005012456,0.00003416471,0.0007963854,0.00004596781,0.000020105,0.0008970827,0.001291192,0.00003064959,0.0001829374,0.01552472,0.9730172,0.008109388],"study_design_scores_gemma":[0.00008048795,0.00004937597,0.0009645498,0.0003386954,0.00002585955,0.0009861524,0.005060656,0.0001681314,0.0001550564,0.02364448,0.9684641,0.00006252074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002715772,0.000630633,0.00003665844,0.9911506,0.005494065,0.000003290358,0.00000843807,0.000003728578,0.002400946],"genre_scores_gemma":[0.003288344,0.0004815748,0.00009481444,0.9779603,0.01002531,0.00001555697,0.000004560782,0.00001488269,0.008114613],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05861157,"threshold_uncertainty_score":0.04752749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3828656780540802,"score_gpt":0.5015732015330857,"score_spread":0.1187075234790055,"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."}}