{"id":"W4367671190","doi":"10.1080/15265161.2023.2191056","title":"Thinking Inside the Bag: Patient Selection, Framing the Ethical Discourse, and the Importance of Terminology in Artificial Womb Technology","year":2023,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Ethics and Legal Issues in Pediatric Healthcare","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Framing (construction); Terminology; Selection (genetic algorithm); Engineering ethics; Psychology; Sociology; Artificial intelligence; Epistemology; Computer science; Philosophy; Engineering; Linguistics","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008418781,0.0002959286,0.001071363,0.0003620965,0.0004760323,0.00005145836,0.0009326309,0.001244791,0.000006267087],"category_scores_gemma":[0.004568105,0.0001164696,0.0002198749,0.001390122,0.01248054,0.0000306117,0.000305782,0.03115363,0.000001650439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108027,"about_ca_system_score_gemma":0.00115657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000922959,"about_ca_topic_score_gemma":0.0005317197,"domain_scores_codex":[0.9946623,0.001956647,0.001453787,0.0002771611,0.001154982,0.0004950875],"domain_scores_gemma":[0.9879091,0.008175075,0.002518435,0.0006835411,0.0006620631,0.00005173269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005634273,0.0003771776,0.07823548,0.002056951,0.003287372,0.004952634,0.2975184,0.0004046687,0.0002761579,0.1541684,0.2073286,0.2457599],"study_design_scores_gemma":[0.003472271,0.01037642,0.01298081,0.004370316,0.003152976,0.01129421,0.1706823,0.00116267,0.0005097858,0.4954701,0.2851202,0.001407898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1727161,0.002199671,0.00006035716,0.8240384,0.0005346436,0.0003812873,0.000007572437,0.00001648516,0.00004555875],"genre_scores_gemma":[0.5868541,0.00398643,0.0002395004,0.4062902,0.002525786,0.00001744973,0.000002975986,0.00005013972,0.00003344918],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4177482,"threshold_uncertainty_score":0.9902069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05011935997438358,"score_gpt":0.3870949258009671,"score_spread":0.3369755658265835,"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."}}