{"id":"W1927525392","doi":"","title":"Answering clinical questions: What is the best way to search the Web?","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; World Wide Web; Information retrieval; Web application; Data 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0378993,0.001378884,0.003164449,0.01207008,0.004292893,0.01534758,0.003144069,0.009151311,0.04398149],"category_scores_gemma":[0.1931701,0.0009273438,0.001788925,0.006947061,0.004858489,0.02753173,0.004253171,0.006927719,0.04379376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002514804,"about_ca_system_score_gemma":0.01101243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004364851,"about_ca_topic_score_gemma":0.007407813,"domain_scores_codex":[0.9727965,0.01596135,0.004116107,0.001129529,0.005044761,0.000951714],"domain_scores_gemma":[0.8941671,0.0680718,0.007414389,0.003517763,0.01967864,0.00715027],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002527132,0.0003903589,0.006040255,0.008292142,0.0002215553,0.0005788337,0.003723256,0.000189574,0.00167268,0.01106689,0.5684196,0.3991522],"study_design_scores_gemma":[0.0002901745,0.0003752827,0.008303921,0.01675834,0.0004744426,0.004866477,0.02311892,0.001913874,0.00274597,0.09374684,0.8467667,0.0006391314],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007698928,0.04565087,0.06913068,0.7881294,0.006823152,0.002647946,0.005967739,0.004403794,0.06954744],"genre_scores_gemma":[0.09988683,0.08993359,0.5530642,0.1827324,0.01509048,0.004748539,0.01108985,0.002794949,0.04065917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9621007,"threshold_uncertainty_score":0.2004331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3511260751648866,"score_gpt":0.5629742940213464,"score_spread":0.2118482188564597,"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."}}