{"id":"W2518399717","doi":"","title":"A Canadian Approach to Managing the Potential Risks Associated with MTB","year":2014,"lang":"en","type":"article","venue":"2014 Annual Meeting","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Risk analysis (engineering); Business; Computer science; Environmental planning; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008969589,0.0001817652,0.0001713409,0.0001272973,0.0005395361,0.0003854421,0.0003585219,0.00005684711,0.00003465376],"category_scores_gemma":[0.0001989606,0.0001261945,0.00004837623,0.0004265288,0.00003386973,0.0004633671,0.0001192411,0.0001746416,0.0003105192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006763181,"about_ca_system_score_gemma":0.0000372096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.233318,"about_ca_topic_score_gemma":0.1371572,"domain_scores_codex":[0.9986681,0.00002731744,0.0001761982,0.0003055694,0.0002986251,0.0005241446],"domain_scores_gemma":[0.9992755,0.00003428654,0.0002108114,0.0002497264,0.0001857539,0.00004392858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000285177,0.0003420065,0.2218762,0.0003143301,0.0004722264,0.0001043443,0.002678414,0.04492133,0.0004638288,0.1243887,0.5125042,0.09164923],"study_design_scores_gemma":[0.001507368,0.00006840687,0.2277384,0.0004503794,0.0002928567,0.000009930188,0.004921332,0.07516663,0.00002530818,0.003000374,0.6853528,0.001466201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6031289,0.00004440706,0.00198795,0.005427666,0.0004227561,0.0004864303,0.0000146878,0.0001920747,0.3882951],"genre_scores_gemma":[0.992506,0.000001136795,0.000134953,0.005301356,0.001190827,0.0000217408,0.00002758032,0.0000361218,0.0007802642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3893771,"threshold_uncertainty_score":0.8785875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107030710279629,"score_gpt":0.192142828199992,"score_spread":0.1810725210971957,"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."}}