{"id":"W2496002297","doi":"10.1002/9780471773757.scard","title":"Wiley Series in Probability and Statistics","year":2005,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Series (stratigraphy); Citation; Computer science; Probability and statistics; Statistics; Mathematics; Library 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":[0.002457875,0.002269828,0.003201949,0.005467156,0.00098367,0.004878019,0.00191207,0.002437467,0.1220489],"category_scores_gemma":[0.01889581,0.0007683992,0.0009010723,0.008918757,0.001660754,0.00419436,0.001980312,0.005460577,0.09972621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696324,"about_ca_system_score_gemma":0.003421376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002364254,"about_ca_topic_score_gemma":0.002909824,"domain_scores_codex":[0.9961713,0.0005357225,0.0004121897,0.0006077019,0.002160181,0.000112878],"domain_scores_gemma":[0.9895789,0.004963028,0.0008507665,0.001862366,0.002254386,0.0004906096],"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":[0.00003397492,0.00003224657,0.0002367741,0.001120195,0.00007411985,0.0002412936,0.0001173739,0.002464909,0.000336866,0.1255964,0.6173346,0.2524113],"study_design_scores_gemma":[0.000007476242,0.00001520867,0.0003477167,0.0005360122,0.00001603273,0.0003388527,0.00003378471,0.001661641,0.000146156,0.09056497,0.906303,0.00002927595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001302349,0.1713739,0.2597618,0.01370794,0.04140422,0.0003876694,0.015937,0.004738279,0.4913869],"genre_scores_gemma":[0.02665133,0.2260801,0.1291495,0.00791046,0.02669707,0.001784312,0.01824529,0.005459675,0.5580223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1220489,"threshold_uncertainty_score":0.4082943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187436336579118,"score_gpt":0.2484393167320917,"score_spread":0.2296956830741799,"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."}}