{"id":"W4205375596","doi":"10.3386/w29666","title":"Land Security and Mobility Frictions","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; World Bank Group","keywords":"Environmental science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684555,0.0002677341,0.000297861,0.001520176,0.000692885,0.001213594,0.0002677798,0.0002977631,0.007892305],"category_scores_gemma":[0.002598573,0.0001559487,0.0003526233,0.003343714,0.001256486,0.001337027,0.001304656,0.0004477758,0.0003150675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458075,"about_ca_system_score_gemma":0.001144152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02443976,"about_ca_topic_score_gemma":0.02875099,"domain_scores_codex":[0.9996415,0.00006184036,0.0000348736,0.00004837676,0.00005546031,0.0001579017],"domain_scores_gemma":[0.9983797,0.0001994172,0.001028551,0.0001332229,0.00009066903,0.0001683905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008245838,0.00005904376,0.9038699,0.0001565766,0.0000996727,0.0005402117,0.0009852402,0.01661205,0.0005575017,0.05286314,0.002538247,0.02163589],"study_design_scores_gemma":[0.00002480243,0.00007956786,0.9461309,0.0001573109,0.00005752951,0.0002589753,0.002540022,0.0107044,0.0003539549,0.02450692,0.01515525,0.00003052969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823635,0.001001933,0.001940251,0.001026187,0.0000136006,0.00003706624,0.002358497,0.00003020205,0.01122884],"genre_scores_gemma":[0.9984511,0.0002900869,0.0001261524,0.00001907611,0.000005927709,0.000006394813,0.0004420527,0.000001529844,0.0006576105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02443976,"threshold_uncertainty_score":0.04859501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3494397898072404,"score_gpt":0.5718566581239964,"score_spread":0.222416868316756,"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."}}