{"id":"W4383105416","doi":"10.5539/jpl.v16n3p39","title":"Mitigating Developmental Disparities and Regional Instability through Public Policy Landscaping","year":2023,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"International Development and Aid","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Corporate governance; Public policy; Political science; Government (linguistics); National Policy; Public administration; Institutionalisation; Economic growth; Economics; Law; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01190882,0.0005831161,0.0005291162,0.002277804,0.006862715,0.01297985,0.002638923,0.004204324,0.006988289],"category_scores_gemma":[0.02211764,0.0003785715,0.001024107,0.001760986,0.0135332,0.009122969,0.02620409,0.005728731,0.0007735692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006244555,"about_ca_system_score_gemma":0.02534233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005671486,"about_ca_topic_score_gemma":0.009458954,"domain_scores_codex":[0.9912093,0.005102084,0.0002094295,0.0007137352,0.001015626,0.001749945],"domain_scores_gemma":[0.9911115,0.003641647,0.001941617,0.001351676,0.0009275493,0.001025981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001844356,0.0001032564,0.002974061,0.0001611165,0.00003284647,0.0003160073,0.01013067,0.005863525,0.00053754,0.9177177,0.007721864,0.05442282],"study_design_scores_gemma":[0.00003449623,0.0001175309,0.00360142,0.0007919189,0.0000675984,0.0002400096,0.01969107,0.005234082,0.00127759,0.7382247,0.230662,0.00005745555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1352266,0.005137664,0.2319065,0.2160143,0.0009391189,0.0005555569,0.0001501564,0.00103722,0.4090329],"genre_scores_gemma":[0.9637991,0.001266554,0.02057721,0.006242508,0.0001768635,0.0002197391,0.00004856788,0.0001085585,0.007561081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01297985,"threshold_uncertainty_score":0.06298059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554004351330464,"score_gpt":0.3273618529535809,"score_spread":0.2719614178205346,"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."}}