{"id":"W3008294444","doi":"10.2196/16777","title":"Translating Clinical Questions by Physicians Into Searchable Queries: Analytical Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Computer science; Information retrieval; Context (archaeology); Service (business); MEDLINE; Search engine; World Wide Web; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008822407,0.0001311105,0.0002268141,0.00001964624,0.0001055951,0.00002431967,0.0002705173,0.0002804869,0.000117373],"category_scores_gemma":[0.004255055,0.0001167053,0.00007958583,0.0002369189,0.0003488469,0.000004531159,0.00007123006,0.0003545849,0.0000272586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382532,"about_ca_system_score_gemma":0.000910747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002658957,"about_ca_topic_score_gemma":0.0002487283,"domain_scores_codex":[0.9980122,0.0005005916,0.0004080955,0.0004489028,0.0003982911,0.0002319113],"domain_scores_gemma":[0.9990606,0.0001064493,0.00006667174,0.000216728,0.0001051829,0.0004443712],"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":[0.0002048462,0.003733905,0.1957957,0.00005883009,0.0001473914,0.000003876904,0.003448216,0.000001364417,0.001796787,0.00006548597,0.2297844,0.5649592],"study_design_scores_gemma":[0.003984561,0.008531672,0.3541122,0.0002119583,0.0001423943,0.00001200919,0.02360197,0.006027663,0.0007714467,0.0002140995,0.6011131,0.001276963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973794,0.0004683729,0.004372976,0.02021413,0.0003316644,0.0003515593,0.00001524824,0.00006060422,0.0003914436],"genre_scores_gemma":[0.9945135,0.00005464682,0.000642054,0.003440068,0.0006991086,0.00007937725,0.0003120241,0.00001648265,0.0002427103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5636822,"threshold_uncertainty_score":0.5094006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04694446460236983,"score_gpt":0.4342116643875008,"score_spread":0.3872671997851309,"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."}}