{"id":"W6939279409","doi":"10.60692/xx908-ca228","title":"Multilateral benefit-sharing from digital sequence information will support both science and biodiversity conservation","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Convention on Biological Diversity; Cornerstone; Compromise; Biodiversity; Convention; Obstacle","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003998935,0.0001332378,0.000112754,0.0001532218,0.0006809976,0.000626504,0.0003865681,0.00003393585,0.0005436608],"category_scores_gemma":[0.00002683579,0.0001360493,0.00002520411,0.0002949299,0.0001859062,0.01142706,0.0008655642,0.00009752471,0.0009305748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008341143,"about_ca_system_score_gemma":0.00002277636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006945129,"about_ca_topic_score_gemma":0.000001416649,"domain_scores_codex":[0.9982282,0.00001025777,0.0004039147,0.0001854829,0.0009517723,0.0002203504],"domain_scores_gemma":[0.9993339,0.000007405064,0.000274917,0.0002076785,0.0000864823,0.00008961765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004541943,0.000002183741,0.9651196,0.00002099205,0.00000854368,0.000002453446,0.03215314,0.001357817,0.00002397706,0.0004219955,0.0001726722,0.0006711807],"study_design_scores_gemma":[0.001257198,0.0001059502,0.887892,0.00003369376,0.00001883343,0.00009556137,0.01180566,0.0846401,0.0006076671,0.00006636717,0.01296103,0.000515907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99116,2.53122e-7,0.0006710342,0.0001254903,0.0002354784,0.0002772948,0.001026211,0.0001217785,0.006382468],"genre_scores_gemma":[0.9986899,4.826245e-8,0.0002529042,0.0006563452,0.00001184601,0.00002815968,0.0002435705,0.000002726884,0.0001144454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08328228,"threshold_uncertainty_score":0.9998473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135897057502171,"score_gpt":0.1925981277434355,"score_spread":0.1712391571684138,"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."}}