{"id":"W2599368770","doi":"10.1155/2017/2397429","title":"Invasive Pneumococcal Disease: Still Lots to Learn and a Need for Standardized Data Collection Instruments","year":2017,"lang":"en","type":"article","venue":"Canadian Respiratory Journal","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Provincial Laboratory of Public Health; Dalhousie University","funders":"Merck Canada; Canada Research Chairs; Government of Canada; Faculty of Medicine and Dentistry, University of Alberta; Merck; Eli Lilly and Company; University of Alberta; Pfizer","keywords":"Medicine; Comorbidity; Pneumonia; Stroke (engine); Population; Bacteremia; Disease; Pulmonary embolism; Meningitis; Intensive care medicine; Emergency medicine; Internal medicine; Pediatrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005098302,0.000192636,0.0003102885,0.00048139,0.001990938,0.000414614,0.0003396588,0.0001145266,0.00007296324],"category_scores_gemma":[0.002090971,0.0001764266,0.00008296986,0.0001134129,0.00014704,0.0003940441,0.00009753832,0.0003664175,0.00001707652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005234986,"about_ca_system_score_gemma":0.0049847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017015,"about_ca_topic_score_gemma":0.03481657,"domain_scores_codex":[0.9985231,0.00007193411,0.000313152,0.0003630707,0.0002516191,0.0004771533],"domain_scores_gemma":[0.9957139,0.0000468753,0.0001855041,0.0008136271,0.0003187665,0.002921337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001713676,0.0001424401,0.8203511,0.0002392119,0.0006349823,0.001294954,0.0004706635,0.00002262698,0.05215779,0.0001875452,0.08069213,0.04209285],"study_design_scores_gemma":[0.003061302,0.0004999414,0.3950979,0.000178801,0.0001572488,0.0002370236,0.00009621902,0.00005298625,0.0001824888,0.00007947956,0.6001599,0.0001966841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896133,0.0001588377,0.0002282281,0.007028453,0.0008579058,0.0009882082,0.0004779712,0.00002376469,0.0006233581],"genre_scores_gemma":[0.9931967,0.00004777126,0.0001137485,0.005143428,0.0006869808,0.00004901177,0.00001980702,0.00004463977,0.0006978585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5194678,"threshold_uncertainty_score":0.9993083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06129959523782986,"score_gpt":0.3295017493989159,"score_spread":0.2682021541610861,"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."}}