{"id":"W4237669612","doi":"10.5539/cis.v1n4p0","title":"Computer and Information Science, Vol. 1, No. 4, November 2008, all in one file","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007298834,0.001129028,0.0009382273,0.001919529,0.0005639416,0.002812998,0.00117691,0.0009893832,0.3212676],"category_scores_gemma":[0.01033435,0.0004489868,0.0005455925,0.003097048,0.0004135928,0.003348811,0.00178043,0.001324898,0.2115617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007602209,"about_ca_system_score_gemma":0.000982511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454534,"about_ca_topic_score_gemma":0.001516094,"domain_scores_codex":[0.9994691,0.00008383312,0.00004559036,0.00009210983,0.0002680345,0.00004123848],"domain_scores_gemma":[0.9964396,0.001486475,0.0001302215,0.001023212,0.0007424111,0.0001780813],"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":[0.000153649,0.0000580326,0.0006247431,0.0002484538,0.00001703607,0.0001167903,0.00005890219,0.0007632436,0.001031774,0.004064075,0.7941518,0.1987115],"study_design_scores_gemma":[0.00007926206,0.00009056424,0.002121567,0.0002888564,0.00002304158,0.0006435304,0.0001264373,0.01002139,0.004827837,0.02417113,0.9575542,0.00005218264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01674846,0.0092371,0.2846352,0.01597184,0.005078557,0.001967254,0.2199179,0.09987752,0.3465663],"genre_scores_gemma":[0.06437189,0.00948817,0.1561106,0.00292221,0.00110779,0.001651331,0.1911684,0.01283989,0.5603397],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6787324,"threshold_uncertainty_score":0.9681293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248336822635977,"score_gpt":0.2556407914344621,"score_spread":0.2308071091708644,"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."}}