{"id":"W7099606818","doi":"","title":"UNRAVELLING NESTED INSTITUTIONAL ARRANGEMENTS UNRA YELLING NESTED INSTITUTIONAL ARRANGEMENTS By","year":2015,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commons; Institutional analysis; Sustainability; Common-pool resource; Institutional theory; Institutional research; Corporate governance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008689743,0.0002094783,0.0003175318,0.001395309,0.004040333,0.006775958,0.001485164,0.001315928,0.003184467],"category_scores_gemma":[0.01772048,0.000299195,0.0005341358,0.001968716,0.0305771,0.009565808,0.00792237,0.001603282,0.0002015815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01244862,"about_ca_system_score_gemma":0.0178834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07224999,"about_ca_topic_score_gemma":0.1550354,"domain_scores_codex":[0.9923964,0.004244748,0.0002647561,0.0008931706,0.001128228,0.001072608],"domain_scores_gemma":[0.9856431,0.007379091,0.00228723,0.002505453,0.001326913,0.0008582129],"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":[0.00002468591,0.00001844997,0.01052288,0.00009081963,0.00002491531,0.0003717649,0.01747556,0.009921822,0.0006312443,0.9305508,0.001045976,0.02932127],"study_design_scores_gemma":[0.00001930983,0.00007856977,0.01368096,0.0004196004,0.00005146892,0.000247316,0.04526409,0.01992425,0.001514096,0.8154343,0.1033021,0.00006392071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5905213,0.001534334,0.2419299,0.02768723,0.0001046387,0.0002801284,0.0002217262,0.0001821933,0.1375386],"genre_scores_gemma":[0.9767063,0.0002382818,0.02044358,0.0002063908,0.000008469837,0.00005335508,0.00001979589,0.00001877883,0.002305054],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9968156,"threshold_uncertainty_score":0.1436589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284686926783451,"score_gpt":0.2423466412367664,"score_spread":0.1994997719689319,"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."}}