{"id":"W2086446791","doi":"10.2753/jei0021-3624440107","title":"In the Shadow of the Anticommons: The Paradox of Overlapping Exclusion Rights and Open-Access Resource Degradation in India's Wastelands","year":2010,"lang":"en","type":"article","venue":"Journal of Economic Issues","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Shadow (psychology); Resource (disambiguation); Economics; Neoclassical economics; Law and economics; Natural resource economics; Development economics; Economic geography; Computer science","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":[0.001356996,0.0000548463,0.0001844373,0.00005304497,0.0001380897,0.0001448744,0.001136185,0.00005658775,0.00004368527],"category_scores_gemma":[0.00006795834,0.00002538396,0.00003646447,0.00009903964,0.0001826797,0.001044678,0.000166375,0.0002537483,2.807075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002739542,"about_ca_system_score_gemma":0.00006928839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007266031,"about_ca_topic_score_gemma":0.009935855,"domain_scores_codex":[0.9991781,0.0001727125,0.0003685931,0.00006152241,0.0001248602,0.00009427014],"domain_scores_gemma":[0.9990754,0.0001488262,0.000601257,0.0001397639,0.0000200801,0.0000146439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001910371,0.0001113918,0.7944303,0.00003128342,0.00004383011,0.000008285903,0.1225646,0.0002759469,0.002942646,0.06757449,0.008162141,0.003664066],"study_design_scores_gemma":[0.0005831781,0.00004627931,0.9137403,0.000164728,0.00001175923,0.00001335279,0.00643691,0.00007389158,0.002337744,0.03709809,0.03942112,0.00007266753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914991,0.0001939017,5.803505e-7,0.004510883,0.0002352175,0.000140222,0.000002507881,4.655606e-7,0.003417074],"genre_scores_gemma":[0.9994124,0.0001523368,0.00003274581,0.000141907,0.0001747646,8.22128e-7,2.070964e-7,0.00000236795,0.0000824805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.11931,"threshold_uncertainty_score":0.9993446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213062926322723,"score_gpt":0.3393093763911334,"score_spread":0.3180030837588611,"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."}}