{"id":"W2085494583","doi":"10.1038/embor.2011.35","title":"The ‘National’ and the ‘Cosmos’","year":2011,"lang":"en","type":"article","venue":"EMBO Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Cosmos (plant); Biology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003031588,0.00004563059,0.00003575769,0.000004193206,0.00008751289,0.00001244828,0.00004378681,0.0000261967,0.00001020308],"category_scores_gemma":[0.0001029759,0.0000243539,0.00002727406,0.00001807757,0.00007203391,6.413156e-7,0.00004453654,0.00002946031,0.000001719553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001559435,"about_ca_system_score_gemma":0.00001360695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009539019,"about_ca_topic_score_gemma":0.000009094017,"domain_scores_codex":[0.9996421,0.00001181419,0.0000987021,0.0001028885,0.0000689944,0.00007554278],"domain_scores_gemma":[0.9997565,0.00001026364,0.00003293145,0.0001465791,0.00003379117,0.00001991419],"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":[0.0008455337,0.0002682938,0.04884541,0.00009889954,0.001371895,0.0003241196,0.006128847,0.000697371,0.3777031,0.0434014,0.4337055,0.08660962],"study_design_scores_gemma":[0.0005442646,0.00006416056,0.05857005,0.000006743162,0.00002842403,0.0009348647,0.0001479634,0.0001286622,0.164185,0.008344945,0.7668177,0.0002271913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590649,0.008101365,0.002859932,0.0007311176,0.0006306309,0.0003088639,0.000001606575,0.00002176839,0.1282798],"genre_scores_gemma":[0.997481,0.0001673441,0.0001529208,0.0001387241,0.0001050766,0.00001423212,0.000002742048,0.000005578823,0.001932327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3331122,"threshold_uncertainty_score":0.09931233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161383571925723,"score_gpt":0.2731232433801327,"score_spread":0.2615094076608755,"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."}}