{"id":"W4206545023","doi":"10.1080/01900692.2021.1998109","title":"Multidimensional and Global Indicators for Government Start-ups’ Risk Decisions-Making","year":2022,"lang":"en","type":"article","venue":"International Journal of Public Administration","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Government (linguistics); Notice; Business; Productivity; Empirical research; Risk analysis (engineering); Economics; Political science; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005598671,0.0004360579,0.0002686285,0.002596602,0.0008270335,0.004050687,0.0003061538,0.0005177263,0.004759562],"category_scores_gemma":[0.01635109,0.0001359878,0.0004737046,0.002520706,0.001127252,0.001877249,0.00266381,0.0009664439,0.000487541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507393,"about_ca_system_score_gemma":0.001825568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608509,"about_ca_topic_score_gemma":0.003080609,"domain_scores_codex":[0.9946488,0.002611195,0.000436512,0.000395129,0.00130021,0.0006081832],"domain_scores_gemma":[0.9768643,0.008781333,0.008571334,0.001662678,0.002293618,0.001826758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003006843,0.0002881033,0.8839354,0.0001478253,0.0001598902,0.0002173138,0.01152697,0.004655533,0.001209261,0.02223607,0.001186154,0.07413668],"study_design_scores_gemma":[0.00001429256,0.000306826,0.9429809,0.0001359831,0.00008549626,0.0001279707,0.02200876,0.006471713,0.001575329,0.01751025,0.008691293,0.00009125799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972679,0.0002612471,0.007562389,0.000706474,0.00001491333,0.00009723921,0.0003194557,0.00003250518,0.01832669],"genre_scores_gemma":[0.99764,0.00005513905,0.001641525,0.00001475608,0.000004766036,0.00002400788,0.00008409771,0.000003585543,0.000532123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005598671,"threshold_uncertainty_score":0.02960891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277040907693018,"score_gpt":0.2784854008081599,"score_spread":0.2507813100388581,"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."}}