{"id":"W2889823341","doi":"10.2495/sdp-v13-n6-851-859","title":"Individualization of Risks Diagnostics in Assessment of Investment Potential of Sectoral Companies in Developing Countries","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic and Business Development Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Science Foundation","keywords":"Business; Developing country; Investment (military); Natural resource economics; Risk assessment; Risk analysis (engineering); Economics; Economic growth","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":[0.003743823,0.0005115331,0.0003321005,0.003292379,0.000323278,0.001522596,0.0004276104,0.0005985139,0.0007356714],"category_scores_gemma":[0.01146493,0.0002230103,0.0003813194,0.001510268,0.0008415478,0.001159103,0.001496862,0.0004925621,0.00009594968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000767612,"about_ca_system_score_gemma":0.0006438147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124493,"about_ca_topic_score_gemma":0.001385907,"domain_scores_codex":[0.9979985,0.001153896,0.0001174351,0.0001769091,0.0004417933,0.0001114473],"domain_scores_gemma":[0.9947076,0.00320221,0.001095003,0.0003017966,0.0005586402,0.0001348545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005906115,0.0001384059,0.5227479,0.0002206517,0.0001979245,0.001097915,0.004288677,0.2069463,0.007571726,0.05880404,0.0006431867,0.1967526],"study_design_scores_gemma":[0.00003309457,0.0008078563,0.3576909,0.0002178579,0.0001459549,0.001800387,0.006504033,0.5384623,0.01349142,0.07656515,0.0041174,0.0001636145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668396,0.0002944804,0.1235662,0.0001372729,0.000009845408,0.0001343112,0.0001618828,0.00006386506,0.008792446],"genre_scores_gemma":[0.9819288,0.00007989969,0.01763441,0.000008375855,0.000003417078,0.0000315765,0.00004872219,0.000003613063,0.0002611835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003743823,"threshold_uncertainty_score":0.01979947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532238931460758,"score_gpt":0.3022910067419174,"score_spread":0.2469686174273099,"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."}}