{"id":"W4246210795","doi":"10.1002/9780471773757.gloss","title":"Glossary","year":2005,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Glossary; Citation; Series (stratigraphy); Library science; Mathematics; Computer science; Statistics; Linguistics; Philosophy","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":[0.001454282,0.002583856,0.001979494,0.01366525,0.002162743,0.005326998,0.003115971,0.001928568,0.6483481],"category_scores_gemma":[0.01204048,0.000703071,0.0009523864,0.01811435,0.0007887686,0.005145778,0.002868904,0.002262649,0.5370557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00220929,"about_ca_system_score_gemma":0.003235994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02778007,"about_ca_topic_score_gemma":0.0334307,"domain_scores_codex":[0.9986517,0.0002360014,0.0002323106,0.0002322229,0.0005455149,0.0001023798],"domain_scores_gemma":[0.9968914,0.0008621152,0.0002500607,0.0006320461,0.001186722,0.0001776093],"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":[0.00001859424,0.00001773688,0.00009299391,0.0005352197,0.000005665117,0.00004774852,0.00005693642,0.0001233684,0.00009189883,0.007015178,0.9555905,0.03640414],"study_design_scores_gemma":[0.000003759544,0.000002865115,0.0001334474,0.0002625201,0.000005548605,0.00003897208,0.00003391437,0.00003909034,0.00004595994,0.002470565,0.9969559,0.000007538414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004576937,0.01200657,0.007501911,0.002241419,0.004123135,0.0006170842,0.2871798,0.002213369,0.6836591],"genre_scores_gemma":[0.004108957,0.01861041,0.01140308,0.003421333,0.001942669,0.001392934,0.3241689,0.004366155,0.6305856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3516519,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155841754844862,"score_gpt":0.2435352650490096,"score_spread":0.2279510895645234,"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."}}