{"id":"W4255027762","doi":"10.1002/9781444312171.ch8","title":"Conclusions","year":2009,"lang":"en","type":"other","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Risk assessment; Key (lock); Variety (cybernetics); Computer science; Artificial intelligence; Computer security","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003071162,0.0009565068,0.000579295,0.001621972,0.00200407,0.006126557,0.002125629,0.002329875,0.4358556],"category_scores_gemma":[0.009969855,0.0003354939,0.001325262,0.001219513,0.0007445843,0.004337169,0.002338555,0.002397917,0.2195723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004758021,"about_ca_system_score_gemma":0.006008811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01763481,"about_ca_topic_score_gemma":0.01610582,"domain_scores_codex":[0.9971361,0.0002925548,0.00008740077,0.0005236785,0.001619378,0.0003410044],"domain_scores_gemma":[0.9960397,0.0005340301,0.000126757,0.0004555557,0.002497287,0.0003465077],"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":[0.0001176506,0.00006476613,0.001265186,0.0004152278,0.00001825176,0.00008612452,0.000305158,0.0005551926,0.0004773177,0.055904,0.7648702,0.175921],"study_design_scores_gemma":[0.00001138401,0.000009021611,0.001224854,0.0002895299,0.00001053644,0.00002962756,0.000407652,0.000136086,0.0004526537,0.01143124,0.9859886,0.000008771683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001656125,0.002914849,0.006710373,0.03622649,0.011219,0.000268368,0.007864534,0.0009267718,0.9322134],"genre_scores_gemma":[0.01826617,0.004808147,0.005910065,0.0183574,0.002000691,0.0002483756,0.009144926,0.0008371557,0.9404271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5641444,"threshold_uncertainty_score":0.8046834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08544869060998327,"score_gpt":0.4166514880569313,"score_spread":0.331202797446948,"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."}}