{"id":"W7070365608","doi":"","title":"Ownership transformation and firm
\\nperformance in the successor states of the
\\nformer Yugoslavia","year":2016,"lang":"en","type":"dissertation","venue":"Staffordshire Online Repository (Staffordshire University)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; York University","keywords":"Successor cardinal; Empirical research; Context (archaeology); Variety (cybernetics); Frontier; Politics; Panel data; Set (abstract data type); Consolidation (business); Imputation (statistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000550014,0.00006814196,0.0001576273,0.0007078353,0.0007195261,0.001803899,0.0004219675,0.0002373556,0.002026705],"category_scores_gemma":[0.001598742,0.0001085597,0.0001881019,0.001085313,0.001381393,0.0006284,0.001372559,0.0005622339,0.0001424547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00349039,"about_ca_system_score_gemma":0.001978395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.274838,"about_ca_topic_score_gemma":0.435527,"domain_scores_codex":[0.9996444,0.00004869545,0.00001518244,0.00004921911,0.00003605236,0.0002063883],"domain_scores_gemma":[0.9987677,0.0001740827,0.0006291004,0.00008290046,0.0001526696,0.0001935497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008001157,0.00006797076,0.9830806,0.00001376215,0.00002836144,0.0002381998,0.004511319,0.0004055015,0.0004205256,0.003386246,0.0003402797,0.007427137],"study_design_scores_gemma":[0.000003785736,0.00002391074,0.9925558,0.00001848114,0.000009147911,0.00003529776,0.005802961,0.0002422118,0.0001148668,0.0002130675,0.0009763296,0.000004240628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987342,0.00009537987,0.00001586852,0.00006853556,0.000001217149,0.000002358399,0.00004381112,9.768505e-7,0.001037746],"genre_scores_gemma":[0.999526,0.00005528567,0.000007941946,0.000008218077,6.453571e-7,9.487113e-7,0.00006518346,3.982104e-7,0.0003354494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.274838,"threshold_uncertainty_score":0.5464765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004744935439778682,"score_gpt":0.2206355455046937,"score_spread":0.215890610064915,"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."}}