{"id":"W4244569787","doi":"10.1002/9780470391341.ch18","title":"Five Examples","year":2008,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aggregate (composite); Payment; Computer science; World Wide Web; Materials science","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":[0.0005604278,0.0006285512,0.0003281651,0.001170446,0.001483416,0.001623912,0.0009796848,0.001326082,0.08350886],"category_scores_gemma":[0.003567984,0.0002399283,0.0006762114,0.002110223,0.0006411991,0.002263295,0.001631164,0.001263692,0.01618803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115305,"about_ca_system_score_gemma":0.0005205046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971148,"about_ca_topic_score_gemma":0.004052351,"domain_scores_codex":[0.9993444,0.0001796426,0.00003852962,0.00007534603,0.0002658909,0.00009618632],"domain_scores_gemma":[0.9993411,0.0003200868,0.0000364008,0.00008285901,0.0001704392,0.0000490051],"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":[0.00008172549,0.0001153147,0.0005807889,0.0003470895,0.00001038689,0.0005747773,0.0004105839,0.004812717,0.0003694758,0.6914384,0.1450988,0.1561599],"study_design_scores_gemma":[0.00002286325,0.00003361327,0.0006317371,0.000235957,0.00001339802,0.0007254826,0.0003873433,0.006793488,0.0003785888,0.2534681,0.7372849,0.00002444783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009989637,0.002891648,0.07273233,0.004707262,0.0004808642,0.000187019,0.0009306231,0.0007138421,0.9073668],"genre_scores_gemma":[0.1754381,0.007952941,0.1177994,0.00190666,0.0003806146,0.000493621,0.003442028,0.0005155821,0.6920712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08350886,"threshold_uncertainty_score":0.279365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08477455553718777,"score_gpt":0.333058310257925,"score_spread":0.2482837547207372,"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."}}