{"id":"W4327710233","doi":"10.21203/rs.3.rs-2616432/v1","title":"The Property Rights Index (PRIF) can be used worldwide to compare different forest governance systems","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Property rights; Corporate governance; Jurisdiction; Index (typography); Amazon rainforest; Business; Geography; Scale (ratio); Environmental resource management; Natural resource; Natural resource economics; Political science; Economics; Ecology; Finance; Law; Cartography; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.002391548,0.0004439984,0.000454852,0.01110943,0.0004344186,0.002000097,0.000421262,0.0004119849,0.008725763],"category_scores_gemma":[0.008869679,0.0001113799,0.0004303158,0.008118797,0.0009471253,0.002980633,0.001527804,0.0004405427,0.001172202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007395529,"about_ca_system_score_gemma":0.0004237652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003242534,"about_ca_topic_score_gemma":0.003733057,"domain_scores_codex":[0.997745,0.0005368949,0.0002368642,0.0004435692,0.0008229315,0.0002147321],"domain_scores_gemma":[0.992907,0.002233004,0.002357407,0.001049525,0.001144011,0.0003090161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000133676,0.0001661176,0.6646798,0.000267809,0.000334231,0.0002721563,0.0009899049,0.006010327,0.005342049,0.02934266,0.00850581,0.2839553],"study_design_scores_gemma":[0.00001253542,0.0002095902,0.9113716,0.0001519968,0.0000617944,0.0006710403,0.001943729,0.01113828,0.004894021,0.01854615,0.05091997,0.00007914991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7676722,0.001196922,0.08068947,0.0003461563,0.00008994283,0.0003378458,0.0244756,0.000763392,0.1244286],"genre_scores_gemma":[0.9674388,0.0002173441,0.02035014,0.0000299834,0.00003563987,0.000208938,0.008007509,0.0001022199,0.003609397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01110943,"threshold_uncertainty_score":0.0291906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09126012087719529,"score_gpt":0.3115580687288692,"score_spread":0.2202979478516739,"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."}}