{"id":"W1570142693","doi":"","title":"Diversions. PubMed and me: Why my coughs are more productive than my searches.","year":2002,"lang":"en","type":"article","venue":"PubMed","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"MEDLINE; sort; Computer science; World Wide Web; Information retrieval; Data science; Medicine; Political 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":[0.07501421,0.001311164,0.002327157,0.008419978,0.008191047,0.0224148,0.002699292,0.01340314,0.04240532],"category_scores_gemma":[0.3104426,0.001329675,0.001531532,0.009945932,0.01976933,0.05012551,0.0135099,0.0192647,0.03061653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00340512,"about_ca_system_score_gemma":0.01002411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00270936,"about_ca_topic_score_gemma":0.008315586,"domain_scores_codex":[0.9261039,0.03605678,0.0083677,0.003274033,0.02351233,0.002685228],"domain_scores_gemma":[0.6108238,0.2557502,0.03834474,0.0165663,0.05037569,0.02813924],"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":[0.00006647425,0.00002330072,0.0006801146,0.001439718,0.00005494797,0.0003939553,0.002832518,0.00001833133,0.0002123123,0.00892109,0.9408309,0.04452638],"study_design_scores_gemma":[0.00004774786,0.00004430305,0.001339452,0.003917227,0.00004578438,0.001534207,0.006151322,0.00006532268,0.0001753144,0.02214119,0.9644572,0.0000809925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006796449,0.0444555,0.001002607,0.9214344,0.01798571,0.00004900958,0.0001789317,0.0003131387,0.01390096],"genre_scores_gemma":[0.01977617,0.06088505,0.007819567,0.8145647,0.05717708,0.0004087543,0.0004437583,0.001223947,0.03770094],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07501421,"threshold_uncertainty_score":0.3967178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410165800134396,"score_gpt":0.4047787481779485,"score_spread":0.1637621681645088,"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."}}