{"id":"W3165523811","doi":"","title":"The Impact of Heterogeneity in a Global Knowledge Commons: Implications for Governance of the DNA Barcode Commons","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Alberta","funders":"","keywords":"Commons; DNA barcoding; Business; Global commons; Corporate governance; Common-pool resource; Knowledge management; Political science; Biology; Ecology; Computer science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02038346,0.0002396537,0.0005384738,0.002430281,0.005283549,0.01069118,0.001293955,0.001726434,0.005120473],"category_scores_gemma":[0.05332829,0.0002860711,0.0005889792,0.003096622,0.03358469,0.01742628,0.01134574,0.002493815,0.0001576876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009735484,"about_ca_system_score_gemma":0.008886714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0090182,"about_ca_topic_score_gemma":0.009235962,"domain_scores_codex":[0.9826613,0.01044591,0.0007135498,0.001785165,0.002181451,0.002212659],"domain_scores_gemma":[0.9357559,0.04602585,0.007305191,0.004817869,0.003002985,0.00309217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002923921,0.00005219034,0.0278362,0.00008613566,0.00002588115,0.0002903239,0.02205116,0.002635902,0.0002300803,0.935845,0.0005966656,0.01032116],"study_design_scores_gemma":[0.00002608926,0.00003612503,0.02552237,0.0002700826,0.00003034366,0.0001292681,0.05433462,0.003386746,0.0003562823,0.9017641,0.01410696,0.00003697431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6862324,0.001121662,0.05905726,0.03990426,0.0001055895,0.000377002,0.0002110789,0.00006792251,0.2129228],"genre_scores_gemma":[0.9980489,0.0000667654,0.001162331,0.00023988,0.00001287788,0.00004187834,0.0000164507,0.000007503519,0.0004034666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9893088,"threshold_uncertainty_score":0.1077994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809946297439885,"score_gpt":0.292639515508278,"score_spread":0.2745400525338791,"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."}}