{"id":"W3087185831","doi":"10.1093/jamia/ocaa163","title":"Trialstreamer: A living, automatically updated database of clinical trial reports","year":2020,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; Medical Research Council; National Institutes of Health; McMaster University","keywords":"Computer science; Database; Information retrieval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.04578888,0.003327457,0.005532281,0.04233702,0.001400424,0.01276151,0.006548661,0.003583705,0.04508269],"category_scores_gemma":[0.2544144,0.003016179,0.003661434,0.02833413,0.001309429,0.01230332,0.0096735,0.003634394,0.03195054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00240865,"about_ca_system_score_gemma":0.01321153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002354861,"about_ca_topic_score_gemma":0.004021806,"domain_scores_codex":[0.9518042,0.01198531,0.02349139,0.005345956,0.006726005,0.000647223],"domain_scores_gemma":[0.6795413,0.1911008,0.05148738,0.04185099,0.02836844,0.007651013],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003475389,0.0003388392,0.0075716,0.0503087,0.002264212,0.0009125736,0.001458113,0.002117201,0.006729261,0.01303889,0.6039138,0.3078713],"study_design_scores_gemma":[0.003560114,0.0006248656,0.01105098,0.01148051,0.002581245,0.001383458,0.0005208475,0.006033199,0.01059406,0.0186635,0.9328866,0.0006205596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004135504,0.01084027,0.07395854,0.00340291,0.000933485,0.005759644,0.8032819,0.08838131,0.009306424],"genre_scores_gemma":[0.01781133,0.007213966,0.2938972,0.002193319,0.0008414309,0.0115629,0.6535076,0.009557098,0.003415018],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9934514,"threshold_uncertainty_score":0.2421576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5557533324818889,"score_gpt":0.5552892948924444,"score_spread":0.0004640375894444659,"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."}}