{"id":"W2764303703","doi":"10.1017/s0143814x17000174","title":"Political land corruption: evidence from Malta – the European Union’s smallest member state","year":2017,"lang":"en","type":"article","venue":"Journal of Public Policy","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Language change; Politics; State (computer science); Member state; European union; Zoning; Member states; Political corruption; Political science; Business; International trade; Law","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":[0.003624689,0.0001884473,0.0004244057,0.002472905,0.002296362,0.004712714,0.0008805295,0.001035466,0.003775049],"category_scores_gemma":[0.02094427,0.0002799077,0.0001866284,0.006307059,0.003762548,0.001703014,0.003108231,0.001263854,0.0004587347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004931591,"about_ca_system_score_gemma":0.002591124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.262011,"about_ca_topic_score_gemma":0.2978075,"domain_scores_codex":[0.9959784,0.001684354,0.0002658618,0.000332171,0.000794743,0.0009444352],"domain_scores_gemma":[0.9598919,0.01468791,0.01155505,0.0032954,0.009023736,0.001546131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000756114,0.0006378441,0.8820262,0.0004213496,0.0003766657,0.001925851,0.03683452,0.000942437,0.0005549116,0.02096313,0.02487861,0.02968234],"study_design_scores_gemma":[0.00007500592,0.00007474971,0.9184137,0.0006161878,0.0002035354,0.0003219018,0.04572636,0.001256398,0.001154327,0.001437189,0.03066625,0.00005438898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818649,0.000831585,0.0002097613,0.003558306,0.00001369741,0.00003248405,0.0007461399,0.000009481966,0.01273358],"genre_scores_gemma":[0.9977737,0.0004125414,0.00006341618,0.00040982,0.00001014547,0.00001586928,0.0003830474,0.000008703245,0.0009227795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.262011,"threshold_uncertainty_score":0.5209718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08828078950312244,"score_gpt":0.2975188538005253,"score_spread":0.2092380642974028,"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."}}