{"id":"W4385467111","doi":"10.2139/ssrn.4527873","title":"Does Improved Tenure Security Reduce Fires? Evidence from the Greece Land Registry","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Land tenure; Business; Geography; Computer security; Computer science; Archaeology","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":[0.005829351,0.0002134451,0.0005860667,0.001078061,0.0006677108,0.001684016,0.001552235,0.001128271,0.0119735],"category_scores_gemma":[0.04116285,0.0002497673,0.0008678379,0.002216051,0.001620019,0.001563717,0.001805268,0.001296351,0.001014906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004032,"about_ca_system_score_gemma":0.002245856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01870112,"about_ca_topic_score_gemma":0.0290045,"domain_scores_codex":[0.9949847,0.002737564,0.0004280116,0.000565041,0.0006508416,0.0006337173],"domain_scores_gemma":[0.9451936,0.02252689,0.0204247,0.006231942,0.002295699,0.003327172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005185782,0.0009339249,0.9308541,0.0007495792,0.0018209,0.0006672493,0.0012074,0.000895048,0.0002449893,0.003266577,0.009287524,0.04488681],"study_design_scores_gemma":[0.0004875963,0.0007239082,0.984742,0.0004753876,0.0006635396,0.0002403543,0.002586228,0.000316107,0.0001897837,0.001415647,0.008135801,0.00002346955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742593,0.003450291,0.0001906252,0.006319289,0.0002471989,0.00004793009,0.003087171,0.00001165943,0.01238661],"genre_scores_gemma":[0.9958066,0.001373684,0.00009284451,0.0005982276,0.0001293006,0.00001702269,0.001041586,0.00001105436,0.0009296939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01870112,"threshold_uncertainty_score":0.04005533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08484358834202586,"score_gpt":0.3400443881294243,"score_spread":0.2552007997873985,"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."}}