{"id":"W4416290541","doi":"10.1093/medlaw/fwaf040","title":"<i>The Welfare of Future Children: Reproductive Ethics and Disability Screening</i> , Rebecca Bennett.","year":2025,"lang":"en","type":"article","venue":"Medical Law Review","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Welfare; Eugenics; Reproductive technology; Reproductive rights; Reproductive justice","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006509386,0.00008340795,0.0002684049,0.000004498397,0.001146078,0.00002878339,0.0002956416,0.0001643162,0.0001890707],"category_scores_gemma":[0.005102427,0.00004499588,0.00009553428,0.0002949896,0.00461709,0.00008112243,0.00009383037,0.0005006738,0.000001453704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002343998,"about_ca_system_score_gemma":0.000123444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004441976,"about_ca_topic_score_gemma":0.007675147,"domain_scores_codex":[0.9971983,0.001212322,0.0003758819,0.0003320658,0.0007114351,0.000169961],"domain_scores_gemma":[0.9985519,0.0006695928,0.00009878109,0.0004194478,0.0001432327,0.0001170465],"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":[0.000005840544,0.00005308041,0.002847843,0.000561485,0.00002138316,2.440118e-7,0.0004931458,4.004039e-8,1.04282e-7,0.8705572,0.002389091,0.1230705],"study_design_scores_gemma":[0.00008875968,0.00001315404,0.008782485,0.000990788,0.00005548567,7.306581e-7,0.0005264741,8.945954e-7,0.000003381969,0.01030676,0.9791707,0.00006043236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002658786,0.08620576,0.00004540186,0.8850445,0.0004363663,0.0009354663,0.000008856225,0.00003654061,0.02462832],"genre_scores_gemma":[0.6895236,0.296362,0.0003289421,0.01063048,0.00153791,0.00008750027,0.00003981963,0.00001430343,0.001475452],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9767815,"threshold_uncertainty_score":0.9980918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861046843541169,"score_gpt":0.3678214657605746,"score_spread":0.3492109973251629,"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."}}