{"id":"W2080855381","doi":"10.1080/02665433.2010.481178","title":"Land, property rights, and planning in Japan: institutional design and institutional change in land management","year":2010,"lang":"en","type":"article","venue":"Planning Perspectives","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Property rights; Framing (construction); Political science; Meiji period; Land law; Urban planning; Land tenure; Property law; Economy; Public administration; Law and economics; Law; Economics; History; Archaeology; Engineering; Agriculture; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003336493,0.0001220893,0.000196235,0.001714087,0.00254674,0.003853436,0.0006284314,0.0005515321,0.001883598],"category_scores_gemma":[0.003595003,0.0002566952,0.0001696922,0.003208736,0.01639902,0.00301221,0.003439003,0.000547657,0.00007680002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01272806,"about_ca_system_score_gemma":0.006229136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05284068,"about_ca_topic_score_gemma":0.08709615,"domain_scores_codex":[0.9986577,0.0005838664,0.00009830209,0.0002198408,0.0001338651,0.0003063905],"domain_scores_gemma":[0.9970668,0.0007964511,0.0008731302,0.0004860005,0.0003742937,0.0004033093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001818433,0.000228014,0.1711816,0.0006573921,0.00009199539,0.001518346,0.132758,0.009000708,0.002972201,0.5737277,0.003766182,0.1039161],"study_design_scores_gemma":[0.00006481025,0.0002504193,0.6215777,0.0005654633,0.0001588884,0.0002349214,0.1139795,0.006372774,0.001784856,0.1367925,0.1180543,0.0001638892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190586,0.004454377,0.004207804,0.004820314,0.00003751639,0.00005116335,0.00008937406,0.00002802876,0.06725284],"genre_scores_gemma":[0.9979568,0.0003931539,0.0004616227,0.00005077686,0.000007613903,0.00001400977,0.00001679087,0.000002918478,0.001096368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05284068,"threshold_uncertainty_score":0.1050662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409535937466362,"score_gpt":0.2973684418352199,"score_spread":0.2632730824605563,"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."}}