{"id":"W3011385598","doi":"10.1111/jwip.12151","title":"Implications of biological information digitization: Access and benefit sharing of plant genetic resources","year":2020,"lang":"en","type":"article","venue":"The Journal of World Intellectual Property","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Saskatchewan","funders":"","keywords":"Digitization; Genetic resources; Intellectual property; Transformative learning; Decoupling (probability); Corporate governance; Knowledge management; Value (mathematics); Information sharing; Business; Computer science; World Wide Web; Sociology; Biotechnology; Engineering; Telecommunications; Biology","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":[0.0001068192,0.00006305635,0.0001154002,0.00004301766,0.00003069295,0.00001607868,0.000261411,0.00002702559,0.00002676965],"category_scores_gemma":[0.0001841083,0.00003211396,0.00003600728,0.0001289942,0.00006402085,0.00001103347,0.0001470862,0.00006862394,4.25878e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003107543,"about_ca_system_score_gemma":0.00001269163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005055957,"about_ca_topic_score_gemma":0.000004430934,"domain_scores_codex":[0.9994625,0.00001089247,0.0003433395,0.00005047068,0.00006756317,0.00006516271],"domain_scores_gemma":[0.9995401,0.00003820091,0.0001632349,0.0000902741,0.0001264753,0.00004174979],"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":[0.001498885,0.00009354818,0.01874175,0.0002622223,0.0003293683,7.460067e-7,0.009875067,0.03035893,0.8908322,0.0002184752,0.006206331,0.04158247],"study_design_scores_gemma":[0.0008697287,0.001968509,0.04285144,0.0001607201,0.000111964,0.0001900468,0.0006798082,0.005719862,0.8805227,0.0006305645,0.06599481,0.0002998364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786284,0.000998613,0.01876164,0.0006367799,0.00002594175,0.0001100208,0.00001563839,0.000002898259,0.0008200757],"genre_scores_gemma":[0.9988014,0.0007241956,0.0002127323,0.0001379235,0.00007087367,9.205482e-7,0.000006282495,0.000004041558,0.00004169787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05978848,"threshold_uncertainty_score":0.1309569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582075193752477,"score_gpt":0.2793963241111034,"score_spread":0.2435755721735787,"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."}}