{"id":"W2057348271","doi":"10.1017/s1355770x12000496","title":"Strategic behaviour and environmental commons","year":2013,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Commons; Business; Content (measure theory); Access to information; Environmental economics; Environmental resource management; Natural resource economics; Economics; Computer science; Information access; Political science; World Wide Web; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.001087097,0.0001386917,0.0001629136,0.0009447873,0.0007089796,0.002635324,0.0002244697,0.001089411,0.01854518],"category_scores_gemma":[0.005397172,0.00008586339,0.0002392284,0.001111265,0.002970799,0.001734305,0.001646283,0.0007828112,0.001034071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346845,"about_ca_system_score_gemma":0.00125205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004701843,"about_ca_topic_score_gemma":0.006668319,"domain_scores_codex":[0.9991104,0.0004018577,0.00002659231,0.00007986397,0.0001311869,0.0002501775],"domain_scores_gemma":[0.9970866,0.001445515,0.0004302185,0.0002362568,0.0002790683,0.0005223752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004335519,0.00004949509,0.008665362,0.00004127263,0.00001998314,0.0001222517,0.001134695,0.003213548,0.0002728533,0.9679042,0.004829702,0.01370311],"study_design_scores_gemma":[0.00001534287,0.00002478055,0.01487339,0.00004542639,0.000009262129,0.00008295114,0.002696414,0.004639833,0.0001683023,0.9579999,0.0194279,0.00001661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2850104,0.001217433,0.008191397,0.01279885,0.00006852326,0.00003625162,0.0002971642,0.00005765457,0.6923223],"genre_scores_gemma":[0.9923821,0.0002311119,0.000247847,0.0002100891,0.00001177219,0.000008547116,0.00003896942,0.000006307118,0.00686324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01854518,"threshold_uncertainty_score":0.06203979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06308956048518759,"score_gpt":0.1833495452178602,"score_spread":0.1202599847326726,"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."}}