{"id":"W1577549899","doi":"10.1002/9780470986424.app2","title":"Appendix B: Probability Generating Functions and Laplace Transforms","year":2008,"lang":"en","type":"other","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Citation; Library science; Computer science; State (computer science); Algorithm","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":[],"category_scores_codex":[0.001359739,0.00148757,0.000895902,0.003744566,0.000444096,0.001389228,0.001664896,0.001519484,0.3729561],"category_scores_gemma":[0.02923255,0.0006101712,0.0007015276,0.004250446,0.0003244052,0.002200106,0.0007580019,0.001476231,0.1339711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123451,"about_ca_system_score_gemma":0.00164644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008231963,"about_ca_topic_score_gemma":0.005310845,"domain_scores_codex":[0.9989496,0.0003037206,0.00008891146,0.0001105962,0.0004851353,0.00006199785],"domain_scores_gemma":[0.9863157,0.008121749,0.0003982299,0.001007794,0.00405075,0.0001057127],"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":[0.00003815855,0.0000962695,0.0006692933,0.0004343042,0.00002043957,0.0001738167,0.00008801994,0.008790809,0.0003065203,0.1682824,0.7549309,0.06616905],"study_design_scores_gemma":[0.0001306023,0.00003603114,0.002694034,0.0004563702,0.00003350627,0.001191,0.0001032836,0.05020829,0.001284718,0.3186891,0.6250741,0.00009901946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004460897,0.003635969,0.4278576,0.005474458,0.002775418,0.0008231588,0.2308761,0.005271194,0.3188252],"genre_scores_gemma":[0.1148836,0.009884757,0.3149054,0.002400536,0.0032197,0.003202869,0.2063763,0.007039075,0.3380879],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3729561,"threshold_uncertainty_score":0.8944021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121536911193607,"score_gpt":0.2247886863672479,"score_spread":0.2035733172553119,"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."}}