{"id":"W2084929545","doi":"10.1002/biot.200800163","title":"Can policy actors agree on biotechnology","year":2008,"lang":"en","type":"article","venue":"Biotechnology Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Citation; Library science; Citation impact; Political science; Sociology; Computer science","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":[0.0001038206,0.0002295534,0.0001962537,0.0004691394,0.0002488173,0.0000113354,0.0004670212,0.0009424597,0.0000215353],"category_scores_gemma":[0.0002245398,0.0002105409,0.0001260313,0.0002803268,0.0003184734,0.00000207411,0.0001445843,0.0006092917,0.00003000157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005159265,"about_ca_system_score_gemma":0.0001706077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001681676,"about_ca_topic_score_gemma":0.00002203516,"domain_scores_codex":[0.9987784,0.00002482709,0.0002502874,0.0003252892,0.000128136,0.0004930788],"domain_scores_gemma":[0.9992346,0.000007541566,0.00009698262,0.0004970125,0.00004207421,0.0001217829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004425594,0.00006741544,0.001248126,0.000003928491,0.00008961506,0.0001196978,0.0000319562,0.0001474818,0.9766212,0.001743048,0.005169386,0.01471388],"study_design_scores_gemma":[0.0005408885,0.0007358309,0.003197128,0.00001010685,0.000008432666,0.004210236,0.00005274302,0.00001524721,0.8842613,0.0002708246,0.1064444,0.0002528729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978357,0.000931775,0.005410296,0.01414065,0.0004074911,0.00009605047,0.00001106993,0.0001130647,0.0005326248],"genre_scores_gemma":[0.9936753,0.003622729,0.001207661,0.0004374436,0.000587,0.000004867276,0.000009299973,0.00003449355,0.0004212254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.101275,"threshold_uncertainty_score":0.8585609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009364035840608912,"score_gpt":0.2752684767506977,"score_spread":0.2659044409100887,"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."}}