{"id":"W1968395914","doi":"10.1503/cmaj.1050066","title":"Influenza vaccine for all?","year":2005,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; Systematic review; MEDLINE; Medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.008586309,0.00074635,0.002507095,0.001085729,0.0004318852,0.001614898,0.0008148312,0.002753465,0.01889039],"category_scores_gemma":[0.03785748,0.0003662477,0.002407864,0.001206847,0.0004817629,0.002994471,0.001088865,0.003549563,0.002238169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521987,"about_ca_system_score_gemma":0.005832004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009754161,"about_ca_topic_score_gemma":0.02212403,"domain_scores_codex":[0.9958878,0.002565363,0.0003893551,0.0003298013,0.00059482,0.0002327938],"domain_scores_gemma":[0.9933493,0.003231029,0.001284577,0.0003372708,0.001062391,0.0007354009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004070625,0.0002526071,0.01155895,0.03873911,0.01292979,0.000210294,0.0004725476,0.0004521098,0.0004365256,0.01250827,0.4150192,0.50335],"study_design_scores_gemma":[0.008234046,0.002142104,0.04788112,0.1006472,0.04247455,0.0009639823,0.001865673,0.0008167078,0.0008934087,0.05089138,0.7429898,0.0002000253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.006113469,0.5619628,0.001199382,0.3920414,0.0202018,0.0002548903,0.00377886,0.00008875145,0.01435864],"genre_scores_gemma":[0.1765371,0.4645799,0.007977668,0.3164304,0.02126782,0.001249873,0.002328724,0.00007460645,0.009553886],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01889039,"threshold_uncertainty_score":0.06319463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394857102067486,"score_gpt":0.3721009221184615,"score_spread":0.3281523510977867,"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."}}