{"id":"W2042503957","doi":"10.1016/s1098-3015(10)75091-9","title":"PIN33 POTENTIAL HEALTH AND ECONOMIC IMPACT OF NEW PNEUMOCOCCAL VACCINES IN CANADA: A MARKOV MODELLING APPROACH","year":2009,"lang":"en","type":"article","venue":"Value in Health","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Markov chain; Markov model; Pneumococcal disease; Medicine; Virology; Computer science; Streptococcus pneumoniae; Biology; Machine learning; Microbiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002205515,0.0008052192,0.00140958,0.002182197,0.001738517,0.003477472,0.002133855,0.002293178,0.008102861],"category_scores_gemma":[0.008487293,0.001074085,0.001918334,0.002790932,0.001044979,0.001244583,0.0008871222,0.002333275,0.0004197971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04412082,"about_ca_system_score_gemma":0.04450081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802247,"about_ca_topic_score_gemma":0.9692473,"domain_scores_codex":[0.9988161,0.000299757,0.00003573057,0.0001377085,0.0001993379,0.0005113808],"domain_scores_gemma":[0.9961647,0.002321535,0.0003104039,0.00009477253,0.0007571409,0.0003514721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002166063,0.00005986407,0.01504076,0.00006994241,0.0001494501,0.000240253,0.00009971661,0.948267,0.0001420437,0.02569201,0.003882346,0.006140089],"study_design_scores_gemma":[0.00007957096,0.00004233637,0.007989781,0.00004846373,0.0001356079,0.000038987,0.0001833522,0.978525,0.0001161548,0.009822845,0.002964679,0.00005313119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8422195,0.003616945,0.03959471,0.01638621,0.0002442845,0.0006159276,0.02794381,0.0003689882,0.06900959],"genre_scores_gemma":[0.9756866,0.001445219,0.003016329,0.0002714143,0.00003877224,0.0001371097,0.002121917,0.00003332001,0.01724938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04412082,"threshold_uncertainty_score":0.3201205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427304479041961,"score_gpt":0.2968015114876073,"score_spread":0.2625284666971877,"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."}}