{"id":"W4387158612","doi":"10.1093/jleo/ewad020","title":"Know your rights! A field experiment on legal knowledge, property rights, and investment in Kenya","year":2023,"lang":"en","type":"article","venue":"The Journal of Law Economics and Organization","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Property rights; Investment (military); Land law; Property (philosophy); Business; Law and economics; Scale (ratio); Field (mathematics); Test (biology); Land tenure; Law; Political science; Economics; Geography; Politics; Agriculture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001870487,0.00006315491,0.0001011997,0.0000133969,0.0001953934,0.00005225541,0.00007142439,0.00004106964,0.00003321787],"category_scores_gemma":[0.000003195116,0.0000101665,0.00001295942,0.00008398471,0.00003057428,0.0001012506,0.00003223225,0.00006259903,0.000005533971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002008111,"about_ca_system_score_gemma":0.000006262351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003705638,"about_ca_topic_score_gemma":0.001128037,"domain_scores_codex":[0.9996248,0.00002500862,0.0001750662,0.00006423208,0.00002995839,0.00008093881],"domain_scores_gemma":[0.9997846,0.00003814451,0.00008129738,0.00002211369,0.00002965832,0.00004418048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008721049,0.001718979,0.011747,0.00007556219,0.0003735926,0.00007471844,0.02563819,0.0008754028,0.0539365,0.7672215,0.01711155,0.1203549],"study_design_scores_gemma":[0.0007646844,0.001165773,0.01901181,0.00007856707,0.00002299399,0.00007684498,0.0003531138,0.0006745047,0.03102029,0.02098549,0.9256158,0.000230087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953126,0.0001117286,4.142455e-7,0.003024034,0.0001230536,0.00007171318,0.000001490901,0.000005147805,0.001349874],"genre_scores_gemma":[0.9968978,0.001260832,0.00000584042,0.000226818,0.0001877988,4.188428e-7,0.00000392357,8.348375e-7,0.00141577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9085043,"threshold_uncertainty_score":0.1502828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517531704489584,"score_gpt":0.2127573531964659,"score_spread":0.1975820361515701,"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."}}