{"id":"W3033301530","doi":"","title":"Governing stem cells: regenerative medicine in Europe - the vision and recommendations from the EUCelLEX project","year":2018,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Leibniz-Gemeinschaft; Gottfried Wilhelm Leibniz Universität Hannover; Chinese Academy of Sciences; European Commission","keywords":"Presentation (obstetrics); Commission; European commission; Political science; Engineering ethics; Regenerative medicine; Library science; Engineering; Business; Computer science; Medicine; Law; Stem cell; European union","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.09961614,0.0009826308,0.001632291,0.00122436,0.002564836,0.01751844,0.00427078,0.03427102,0.004928699],"category_scores_gemma":[0.03476985,0.0004689542,0.001743559,0.001200624,0.01249469,0.01223784,0.01254419,0.01711976,0.001232957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006027414,"about_ca_system_score_gemma":0.0445824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006547939,"about_ca_topic_score_gemma":0.004417336,"domain_scores_codex":[0.9719598,0.01223069,0.002450868,0.002441092,0.006737269,0.00418031],"domain_scores_gemma":[0.9632831,0.01558464,0.003016564,0.002816277,0.0054901,0.009809344],"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":[0.0001568086,0.0002025264,0.001263301,0.0005485523,0.00004491255,0.0004217346,0.002151391,0.001027481,0.001342971,0.8104014,0.1299363,0.05250274],"study_design_scores_gemma":[0.0001203799,0.000140787,0.002919838,0.002298886,0.00004064344,0.0004543464,0.002633384,0.0005925772,0.001584277,0.2085158,0.7805846,0.0001144589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.008863846,0.06105154,0.01042089,0.8717015,0.01435002,0.0001116412,0.0003194084,0.0002465308,0.03293478],"genre_scores_gemma":[0.1737468,0.04263543,0.05847653,0.6451614,0.008736253,0.0005318725,0.001066202,0.0004308783,0.06921459],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9974352,"threshold_uncertainty_score":0.5268268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05463682442066078,"score_gpt":0.3116755105583091,"score_spread":0.2570386861376482,"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."}}