{"id":"W7024573695","doi":"","title":"Strategic Risk Management in the Municipal and Public Sector: An Exploration of Critical Success Factors and Barriers to Strategic Risk Management within the Province of Newfoundland and Labrador
\\n","year":2010,"lang":"en","type":"report","venue":"Memorial University Research Repository (Memorial University)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk management; Public sector; Enterprise risk management; Government (linguistics); Critical success factor; Strategic planning; Public policy; Local government","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":[0.007820912,0.0002244386,0.0003584067,0.001879937,0.01210401,0.009837447,0.001726733,0.0008760168,0.001361043],"category_scores_gemma":[0.01669003,0.0003581755,0.0002211894,0.003358482,0.009790775,0.00318896,0.005762637,0.001931518,0.00008814686],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06769697,"about_ca_system_score_gemma":0.1132229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8809975,"about_ca_topic_score_gemma":0.9199458,"domain_scores_codex":[0.9910215,0.004022028,0.0003458727,0.0003286715,0.001191018,0.003090946],"domain_scores_gemma":[0.9754601,0.01315313,0.004611766,0.000569989,0.002811863,0.00339321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007411686,0.0001527984,0.1666265,0.0002889315,0.00003447438,0.001657428,0.7691722,0.0009820196,0.0005298652,0.02550736,0.003070631,0.03190367],"study_design_scores_gemma":[0.000002232518,0.00001940912,0.06337952,0.0001651727,0.000008396606,0.00006101187,0.9295389,0.0003358823,0.00009295245,0.0005429477,0.00583961,0.00001387324],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855036,0.0004720688,0.0004732009,0.00464038,0.000008278854,0.00006449284,0.00003806192,0.000006831074,0.008793246],"genre_scores_gemma":[0.9982407,0.0003737472,0.0002414117,0.0001591558,0.000002545472,0.00002748648,0.00001997113,0.000002212939,0.0009327266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.932303,"threshold_uncertainty_score":0.4911782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382230115732923,"score_gpt":0.3006205806313414,"score_spread":0.2567982794740122,"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."}}