{"id":"W2201717414","doi":"10.1016/b978-012369370-9/50027-6","title":"DIVERSA INC.: ETHICAL ISSUES IN BIOPROSPECTING PARTNERSHIPS11The case study was written by Cécile M. Bensimon and David Finegold based on interviews they conducted with Béatrice Godard between February 2003 and November 2004. This case study is one in a series produced under grants funded by The Seaver Institute and Genome Canada to study models for ensuring ethical decision making in bioscience firms. Grateful appreciation is extended to all those who participated and assisted in this case study. Special thanks are extended to Leif Christoffersen for invaluable his assistance in this case.","year":2005,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institutes of Health Research; University Health Network; Université de Montréal; Ontario Genomics; University of Toronto","funders":"","keywords":"Bioprospecting; Corporation; Convention; Management; Convention on Biological Diversity; Engineering; Political science; Library science; Biodiversity; Biology; Ecology; Law; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00390957,0.0008741037,0.001788953,0.0009201603,0.0004854626,0.0001529221,0.0002173206,0.00176404,0.0000163162],"category_scores_gemma":[0.0004435168,0.0006739104,0.00004545152,0.0006553425,0.0002379646,0.0002033091,0.0003830694,0.00424598,3.467957e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008766093,"about_ca_system_score_gemma":0.0003371456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09897318,"about_ca_topic_score_gemma":0.9034512,"domain_scores_codex":[0.9944395,0.0006053026,0.001432792,0.002031507,0.0007257313,0.0007651916],"domain_scores_gemma":[0.997493,0.0007020297,0.0004159764,0.000746745,0.000349143,0.0002931564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.01784583,0.006496648,0.1386442,0.0007853623,0.001453777,0.2193946,0.4681799,0.000416871,0.0003559393,0.00002981745,0.0007009725,0.1456961],"study_design_scores_gemma":[0.1218127,0.04572187,0.1411135,0.01760755,0.006812926,0.03007258,0.6059458,0.01477787,0.001080136,0.0008278039,0.004074993,0.01015234],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781966,0.0006910416,0.0000182806,0.003016144,0.00008096488,0.01748444,0.0002970096,0.00003474604,0.000180744],"genre_scores_gemma":[0.9951569,0.00004114794,0.0003510012,0.001646008,0.00005534113,0.0009158864,0.00001816346,0.00008021866,0.001735284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.804478,"threshold_uncertainty_score":0.9995712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08887651642188386,"score_gpt":0.3362355620762592,"score_spread":0.2473590456543753,"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."}}