{"id":"W3215094677","doi":"","title":"Can Land Title Reduce Low-Intensity Interhousehold Conflict Incidences and Associated Damages in Eastern DRC?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Damages; Matching (statistics); Propensity score matching; Conflict resolution research; Democracy; Land use; Conflict resolution; Political science; Public economics; Geography; Demographic economics; Development economics; Economics; Law; Statistics","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":[0.00028424,0.00005685942,0.00009768394,0.000009981604,0.00005331851,0.00003704378,0.00008777397,0.00005056462,0.00008835062],"category_scores_gemma":[0.000006832399,0.00001239243,0.00002535999,0.00005650925,0.00002061918,0.00004993251,0.00002231846,0.0003727195,0.00002852607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007076236,"about_ca_system_score_gemma":0.00004651762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008434407,"about_ca_topic_score_gemma":0.01338326,"domain_scores_codex":[0.9993117,0.00001947186,0.00008669116,0.00008650011,0.00007641896,0.000419152],"domain_scores_gemma":[0.9998674,0.00001425245,0.00004745314,0.0000172594,0.00002049949,0.00003310126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007838316,0.0001117277,0.9172488,0.000007277188,0.0000957935,0.00001753145,0.0004227775,0.000003170593,0.008690449,0.001339541,0.0004081806,0.07157638],"study_design_scores_gemma":[0.001034679,0.001066992,0.9405675,0.0002104361,0.00002215192,0.0003867142,0.002063039,0.0002478792,0.0006873994,0.02912649,0.02409684,0.0004898786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975984,0.0002620442,1.624601e-7,0.001039352,0.0001180607,0.0000397212,0.000002404427,0.000009496349,0.0009303244],"genre_scores_gemma":[0.9868037,0.001086397,4.95897e-7,0.00006211868,0.00009660143,2.620041e-7,0.000003334603,6.508648e-7,0.0119464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0710865,"threshold_uncertainty_score":0.7468175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251112525387717,"score_gpt":0.2120296974889771,"score_spread":0.1995185722350999,"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."}}