{"id":"W4235808636","doi":"10.1002/9780470012505.tag003","title":"Gamma Function","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Key (lock); Function (biology); Parametric statistics; Computer science; Parametric model; Statistical physics; Applied mathematics; Mathematics; Physics; Statistics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003519666,0.0002555083,0.000306383,0.0004558437,0.0001284095,0.0001486486,0.001651326,0.0002284977,0.0006089244],"category_scores_gemma":[0.0001124059,0.0002293909,0.0001050519,0.001645401,0.0004308954,0.0003900876,0.0002978804,0.0002311886,0.0001978996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060892,"about_ca_system_score_gemma":0.0006938343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003526883,"about_ca_topic_score_gemma":0.00003519179,"domain_scores_codex":[0.9975899,0.00002591017,0.0003065945,0.0007127916,0.0009177983,0.0004469455],"domain_scores_gemma":[0.9984677,0.00003459282,0.0003812776,0.0008063588,0.0001047807,0.0002052259],"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":[0.00002786313,0.0002252081,0.00001390106,0.00005526983,0.00005324794,0.00002721922,0.0002850646,0.0004472041,0.0002619486,0.1052558,0.5223699,0.3709773],"study_design_scores_gemma":[0.0003410813,0.0001640099,0.0001221665,0.00007780734,0.00001425066,0.000007438754,0.000007633476,0.0007749912,0.0001350407,0.002198205,0.9958389,0.0003184908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000711935,0.0001180588,0.3138578,0.00005963923,0.006050868,0.0001800862,0.00001109338,0.0003125532,0.6794028],"genre_scores_gemma":[0.0143038,0.001837875,0.08993717,0.0003651181,0.006995915,0.00004954711,0.0000374638,0.0004081553,0.8860649],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.473469,"threshold_uncertainty_score":0.935429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005116619820075455,"score_gpt":0.2147472946859263,"score_spread":0.2096306748658509,"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."}}