{"id":"W29239674","doi":"","title":"Interdependence of Population Concentrations and Their Activities as a Dynamic Factor of Continental Cohesion","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohesion (chemistry); Population; Diversification (marketing strategy); Computer science; Econometrics; Exploit; Coherence (philosophical gambling strategy); Mathematical optimization; Operations research; Mathematics; Statistics; Physics; Business; Demography; Computer security","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":[0.0005604546,0.0002601376,0.0002189461,0.0006713159,0.0004125829,0.001438631,0.000538646,0.0006442168,0.001078318],"category_scores_gemma":[0.002523285,0.0002268927,0.0004870651,0.0005974205,0.0009636552,0.001256612,0.001014627,0.0004283875,0.00009787739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009629935,"about_ca_system_score_gemma":0.0004908026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00617416,"about_ca_topic_score_gemma":0.003165192,"domain_scores_codex":[0.9996903,0.0001486924,0.00001308033,0.00006822113,0.00003266531,0.00004702885],"domain_scores_gemma":[0.9993935,0.0002881486,0.0001376373,0.00005884359,0.0000540145,0.00006800194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005640946,0.00005522625,0.0760605,0.00006537323,0.0001108479,0.0003923423,0.0006217672,0.8506592,0.004116089,0.05630641,0.000485519,0.01107035],"study_design_scores_gemma":[0.00002221472,0.0001345569,0.04050754,0.00002297215,0.00007878296,0.0001647188,0.0006306025,0.9332345,0.001293331,0.02138023,0.002488109,0.00004230373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461458,0.0002082653,0.04351132,0.0004410691,0.00001655957,0.00003490374,0.0001398575,0.00006335072,0.009438844],"genre_scores_gemma":[0.9978746,0.00008369434,0.001540165,0.000008258688,0.000004139649,0.00001156576,0.00002291185,0.000006524376,0.0004480699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00617416,"threshold_uncertainty_score":0.01227641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974701669763863,"score_gpt":0.228346512435743,"score_spread":0.2085994957381043,"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."}}