{"id":"W4256650984","doi":"10.1007/978-1-349-56632-7_3","title":"Principles of Risk Selection and Classification","year":2006,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Selection (genetic algorithm); Management science; Profit (economics); Computer science; Risk analysis (engineering); Operations research; Engineering; Artificial intelligence; Economics; Business; Neoclassical economics","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":[0.006617424,0.002044313,0.00156513,0.003260676,0.001339815,0.007001156,0.002414501,0.002486175,0.01231907],"category_scores_gemma":[0.008119907,0.0007601576,0.001776861,0.00339416,0.005904812,0.004875582,0.00219343,0.004975306,0.00896158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00285176,"about_ca_system_score_gemma":0.002583833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158348,"about_ca_topic_score_gemma":0.001615558,"domain_scores_codex":[0.994828,0.001596539,0.0003364006,0.0006993623,0.002320187,0.0002194219],"domain_scores_gemma":[0.9962844,0.002511316,0.0001698651,0.0003840386,0.0005778819,0.00007255348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006073873,0.00001811301,0.000204888,0.0001921881,0.00002729348,0.00004034838,0.0001885155,0.003050067,0.00006229708,0.8992392,0.03084082,0.06613013],"study_design_scores_gemma":[0.000003980482,0.000009980961,0.0001645796,0.0001434593,0.000006123366,0.00009675304,0.00003269253,0.00399306,0.00006738842,0.8979929,0.09747634,0.00001267832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001564572,0.03503605,0.7433009,0.01724643,0.002372207,0.0002775691,0.0008802422,0.0005715884,0.1987505],"genre_scores_gemma":[0.123135,0.07212916,0.5853334,0.008179818,0.01172955,0.002080069,0.002048355,0.0006699737,0.1946946],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01231907,"threshold_uncertainty_score":0.04121137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001212538725208,"score_gpt":0.3098319107536469,"score_spread":0.2097106568811261,"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."}}