{"id":"W4237888541","doi":"10.32843/infrastruct52-1","title":"WORLD EXPERIENCE IN FORECASTING AND PLANNING SOCIO-ECONOMIC DEVELOPMENT IN THE PROCESS OF DEVELOPING A \"WELFARE STATE\"","year":2021,"lang":"en","type":"article","venue":"Market Infrastructure","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Developing country; Economics; Economic planning; Scale (ratio); Welfare; Government (linguistics); Business; Economic growth; Market economy; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005750997,0.0003725842,0.0001755978,0.001004379,0.002503458,0.00506246,0.0004755199,0.00135046,0.002354946],"category_scores_gemma":[0.005872605,0.0001863044,0.0002072448,0.002432682,0.006743872,0.007008231,0.002145909,0.002728009,0.0003488707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002467151,"about_ca_system_score_gemma":0.003083082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009441961,"about_ca_topic_score_gemma":0.008323816,"domain_scores_codex":[0.9971318,0.002128985,0.0001008506,0.0001326193,0.0003162981,0.0001894274],"domain_scores_gemma":[0.9963517,0.002336424,0.0003048428,0.0003192828,0.0004230595,0.0002646256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002339382,0.00003606836,0.003621595,0.0001642436,0.00001345533,0.0004967516,0.06301156,0.007391145,0.0001985744,0.8139977,0.02839568,0.08264987],"study_design_scores_gemma":[0.000002725542,0.00003326586,0.001794622,0.00033302,0.000007087251,0.0002425188,0.03194295,0.002029243,0.0002525712,0.119214,0.8441083,0.00003957199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08307614,0.02364641,0.07262508,0.1248106,0.001575883,0.00006466371,0.0005483054,0.0002186669,0.6934342],"genre_scores_gemma":[0.9391304,0.02524289,0.0129519,0.002997608,0.0003129801,0.00004719888,0.0002581405,0.00006621294,0.0189927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009441961,"threshold_uncertainty_score":0.03041458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895740285850677,"score_gpt":0.2994570097892142,"score_spread":0.2704996069307075,"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."}}