{"id":"W4382502856","doi":"10.1007/s10815-023-02854-4","title":"Mapping ethical, legal, &amp; social implications (ELSI) of assisted reproductive technologies","year":2023,"lang":"en","type":"review","venue":"Journal of Assisted Reproduction and Genetics","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Universidad Autónoma de Madrid","keywords":"Reproductive medicine; Human genetics; Reproductive technology; Social responsibility; Engineering ethics; Political science; Biology; Pregnancy; Genetics; Public relations; 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":[0.03775382,0.0005085233,0.0007928183,0.03058577,0.00189976,0.008222321,0.001213852,0.001505004,0.007305291],"category_scores_gemma":[0.1600486,0.0003804236,0.001146417,0.0465049,0.004018282,0.007918663,0.004759383,0.001365986,0.0007219349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004757674,"about_ca_system_score_gemma":0.009291928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406843,"about_ca_topic_score_gemma":0.007566814,"domain_scores_codex":[0.9620749,0.0224313,0.005024199,0.001905438,0.007575409,0.0009888561],"domain_scores_gemma":[0.6790671,0.2621682,0.03769226,0.003749749,0.01576657,0.001556005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000363469,0.00008724795,0.2622198,0.06579205,0.0007734422,0.00243943,0.0449957,0.001457517,0.0014997,0.04726039,0.01770805,0.5554032],"study_design_scores_gemma":[0.0001030144,0.0002550986,0.4778492,0.0531056,0.001415853,0.00303373,0.1392025,0.002771939,0.002727791,0.06354776,0.2558547,0.0001328493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4886607,0.2478476,0.01798398,0.0877244,0.001161934,0.0016896,0.02954672,0.0002170611,0.1251681],"genre_scores_gemma":[0.8944256,0.08381196,0.01218618,0.002063633,0.0005818132,0.0008338862,0.004471324,0.00007128112,0.001554228],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03775382,"threshold_uncertainty_score":0.1996637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2278533864605893,"score_gpt":0.4460682283229504,"score_spread":0.2182148418623611,"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."}}