{"id":"W4240744607","doi":"10.2217/rme.12.62","title":"Global Update: USA","year":2012,"lang":"en","type":"article","venue":"Regenerative Medicine","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stem cell; Embryonic stem cell; Quarter (Canadian coin); Web of science; Political science; Library science; Biology; MEDLINE; Geography; Computer science; Cell biology; Law; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000879543,0.0009707813,0.0009356884,0.005836637,0.0005915569,0.002318507,0.00116491,0.001879727,0.1488608],"category_scores_gemma":[0.003251581,0.0002921305,0.0007752433,0.007368891,0.0003543629,0.00248367,0.001356798,0.001989983,0.0873531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123493,"about_ca_system_score_gemma":0.003249534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0115554,"about_ca_topic_score_gemma":0.01695356,"domain_scores_codex":[0.999375,0.00008175412,0.0001061587,0.00007659302,0.0002841245,0.0000763062],"domain_scores_gemma":[0.9977422,0.000268294,0.000197824,0.00008295896,0.001460053,0.0002487251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003596241,0.00001401372,0.0003184937,0.0006274896,0.000009502264,0.00003258335,0.00001397338,0.00001865558,0.00005739568,0.0002969138,0.9379554,0.06061968],"study_design_scores_gemma":[0.00001353329,0.000009980317,0.001358267,0.0006395296,0.00001485526,0.00009488596,0.00002783588,0.000009917828,0.0000419544,0.0001427945,0.9976413,0.000005247769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002351575,0.1546961,0.001548195,0.04711242,0.05057202,0.0005837447,0.298099,0.002629345,0.4424076],"genre_scores_gemma":[0.01715885,0.226222,0.004937893,0.06040806,0.02029734,0.001645548,0.2934521,0.000893124,0.3749851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1488608,"threshold_uncertainty_score":0.4979889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04695975594246643,"score_gpt":0.3623572320634985,"score_spread":0.3153974761210321,"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."}}