{"id":"W4317860822","doi":"10.1537/ase.2210241","title":"Genetic technologies and the interplay between public desire, commercial interests, and regulatory powers","year":2023,"lang":"en","type":"article","venue":"Anthropological Science","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Perspective (graphical); Genetic engineering; Perception; Social media; Emerging technologies; Public health; Genetic testing; Political science; Public relations; Public discourse; Biology; Medicine; Genetics; Politics; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02600166,0.0003357246,0.0004821734,0.002730412,0.006900465,0.01625394,0.0009596802,0.004969523,0.005130277],"category_scores_gemma":[0.03230518,0.000439334,0.0003121673,0.002864164,0.04302883,0.01339631,0.00845931,0.006380136,0.0004108617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008698897,"about_ca_system_score_gemma":0.006860847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01262168,"about_ca_topic_score_gemma":0.01173919,"domain_scores_codex":[0.9788851,0.01164007,0.0005597954,0.001534943,0.005778493,0.001601579],"domain_scores_gemma":[0.9316347,0.05935891,0.003264982,0.001132841,0.003130305,0.001478368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002919278,0.00004277346,0.004767489,0.0002931782,0.00001905409,0.0004363329,0.1006195,0.0001420951,0.000768269,0.8477607,0.007068462,0.03805288],"study_design_scores_gemma":[0.00002493378,0.00008662963,0.01325075,0.002203002,0.00004150906,0.000803681,0.2459335,0.0004803765,0.001082204,0.3568852,0.3790916,0.000116653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2169695,0.0289574,0.01158763,0.2688774,0.0007794274,0.00008280262,0.0001832942,0.00007344908,0.4724891],"genre_scores_gemma":[0.9722061,0.007603872,0.001066877,0.01364539,0.0004050649,0.00005702802,0.00004293205,0.00004747099,0.004925321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9930995,"threshold_uncertainty_score":0.1375116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0596012586752397,"score_gpt":0.3861338816776039,"score_spread":0.3265326230023642,"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."}}