{"id":"W3192804814","doi":"10.1186/s12978-021-01214-8","title":"Queering reproductive access: reproductive justice in assisted reproductive technologies","year":2021,"lang":"en","type":"letter","venue":"Reproductive Health","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reproductive health; Reproductive justice; Reproductive rights; Reproductive medicine; Lesbian; Reproductive technology; Human sexuality; Gender studies; Heteronormativity; Transgender; Sociology; Assisted reproductive technology; Queer; Reproduction; Economic Justice; Political science; Infertility; Population; Law; Biology; Abortion; Ecology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008069267,0.0003176005,0.0004715842,0.00110491,0.01844049,0.01367102,0.002546221,0.008001779,0.004866006],"category_scores_gemma":[0.01785905,0.0002023113,0.0005978784,0.001506544,0.05234782,0.004829978,0.004900974,0.009634071,0.0002824458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04944268,"about_ca_system_score_gemma":0.1142444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8039096,"about_ca_topic_score_gemma":0.8783997,"domain_scores_codex":[0.986284,0.00548096,0.0003604984,0.0009510148,0.004471492,0.002452068],"domain_scores_gemma":[0.9838939,0.009435737,0.000861506,0.0005208934,0.003838619,0.001449297],"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":[0.00002806452,0.00001633035,0.002063302,0.0004840472,0.00002452668,0.0008265938,0.05895321,0.000334266,0.0002405923,0.8355364,0.04672937,0.05476334],"study_design_scores_gemma":[0.00001394631,0.00002978809,0.004705338,0.003477636,0.00007389096,0.0007953328,0.05254699,0.000407972,0.0004435946,0.1347466,0.8026758,0.00008314774],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01463247,0.07010114,0.006367809,0.6998709,0.003083665,0.00008479573,0.00016021,0.0000536366,0.2056454],"genre_scores_gemma":[0.7518661,0.05151041,0.003312354,0.1584845,0.003074076,0.00009332321,0.00005991917,0.00006286109,0.03153629],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8039096,"threshold_uncertainty_score":0.3944904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008027450454701,"score_gpt":0.3868907558585551,"score_spread":0.286088010813085,"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."}}