{"id":"W1993045136","doi":"10.1177/0042098010390241","title":"Evolving Property Rights in Japan: Patterns and Logics of Change","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Property rights; Property (philosophy); Constitution; Institutional change; Meaning (existential); Law and economics; Property law; Element (criminal law); Political science; Sociology; Economic system; Law; Economic geography; Geography; Economics; Epistemology; Public administration","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":[0.002227854,0.0001094105,0.0002755401,0.002972942,0.003282821,0.004033112,0.000614578,0.0006718315,0.00181725],"category_scores_gemma":[0.006017344,0.0002215539,0.0003531399,0.003668793,0.01220621,0.005614832,0.003800472,0.0005691336,0.0001051106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009415319,"about_ca_system_score_gemma":0.002518942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03517573,"about_ca_topic_score_gemma":0.03135867,"domain_scores_codex":[0.9977145,0.0005770036,0.0002122702,0.0004555233,0.0003868031,0.0006538794],"domain_scores_gemma":[0.9972157,0.0008106061,0.0006878464,0.000381376,0.0004710951,0.000433313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000230473,0.0001240463,0.1808569,0.0003334325,0.00007569539,0.001921268,0.1187919,0.005111469,0.004053456,0.5800603,0.001869928,0.1065712],"study_design_scores_gemma":[0.00007814125,0.0001493705,0.4316964,0.0001880066,0.0001339708,0.0004565402,0.1280694,0.01426612,0.002043875,0.3548984,0.06786676,0.0001530371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432488,0.0010402,0.006012981,0.001889075,0.00001525727,0.00004105133,0.00008865845,0.00003030433,0.04763358],"genre_scores_gemma":[0.9983333,0.0001299055,0.0006515949,0.0000405615,0.000005228941,0.00001268957,0.00002084195,0.00000369289,0.0008023056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03517573,"threshold_uncertainty_score":0.069942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1789675929107149,"score_gpt":0.2451494726504104,"score_spread":0.0661818797396955,"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."}}