{"id":"W2898361692","doi":"10.26577/jgem.2017.1.341","title":"Current state of the Tekeli town: analysis of the positive and negative impacts","year":2017,"lang":"en","type":"article","venue":"Journal of Geography and Environmental Management","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainable development; Limiting; Diversification (marketing strategy); Business; State (computer science); Economic system; Economy; Economics; Political science","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":[0.0002581021,0.0001491141,0.0001472326,0.001426579,0.0009296374,0.001856835,0.0003025502,0.0001794845,0.003584728],"category_scores_gemma":[0.0006491953,0.00007842114,0.0001667429,0.001690482,0.0009179023,0.0006816939,0.0009729114,0.000224089,0.0002508838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590731,"about_ca_system_score_gemma":0.001308919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01726202,"about_ca_topic_score_gemma":0.05265965,"domain_scores_codex":[0.9998036,0.00003707346,0.00001244271,0.0000251941,0.00005655849,0.00006509947],"domain_scores_gemma":[0.9995933,0.00006937992,0.00009370198,0.00001707562,0.0001249515,0.0001016112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001769586,0.0001107216,0.9116,0.000290162,0.0000756868,0.003172048,0.01611978,0.001048694,0.00345567,0.00608055,0.001668957,0.05620078],"study_design_scores_gemma":[0.000002713416,0.0001070257,0.9103684,0.00008827732,0.00005467189,0.0009098185,0.07374567,0.0007438296,0.0006968267,0.0007090145,0.01255245,0.00002126279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890646,0.000393666,0.0001420346,0.0002398111,0.00001034172,0.00001210566,0.0002663312,0.000005788773,0.009865317],"genre_scores_gemma":[0.9985269,0.0002937972,0.00009628809,0.000008102707,0.00000292432,0.000003542634,0.00009195736,0.000001548273,0.000974851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01726202,"threshold_uncertainty_score":0.0343231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008110096163706006,"score_gpt":0.2455457540483507,"score_spread":0.2374356578846447,"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."}}